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itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > Class Template Referenceabstract

Deformably register two images using the demons algorithm. More...

#include <itkSymmetricForcesDemonsRegistrationFilter.h>

+ Inheritance diagram for itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >:
+ Collaboration diagram for itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >:

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef DataObject::Pointer DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
Superclass::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef
SymmetricForcesDemonsRegistrationFunction
< FixedImageType,
MovingImageType,
DisplacementFieldType
DemonsRegistrationFunctionType
 
typedef
Superclass::DisplacementFieldPointer 
DisplacementFieldPointer
 
typedef
Superclass::DisplacementFieldType 
DisplacementFieldType
 
typedef
Superclass::FiniteDifferenceFunctionType 
FiniteDifferenceFunctionType
 
typedef
FixedImageType::ConstPointer 
FixedImageConstPointer
 
typedef
Superclass::FixedImagePointer 
FixedImagePointer
 
typedef Superclass::FixedImageType FixedImageType
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef InputImageType::Pointer InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef Superclass::InputImageType InputImageType
 
typedef
TDisplacementField::PixelType 
InputPixelType
 
typedef NumericTraits
< InputPixelType >::ValueType 
InputPixelValueType
 
typedef
MovingImageType::ConstPointer 
MovingImageConstPointer
 
typedef
Superclass::MovingImagePointer 
MovingImagePointer
 
typedef Superclass::MovingImageType MovingImageType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef
FiniteDifferenceFunctionType::NeighborhoodScalesType 
NeighborhoodScalesType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef
Superclass::OutputImagePointer 
OutputImagePointer
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef Superclass::OutputImageType OutputImageType
 
typedef
TDisplacementField::PixelType 
OutputPixelType
 
typedef NumericTraits
< OutputPixelType >::ValueType 
OutputPixelValueType
 
typedef
PDEDeformableRegistrationFunction
< FixedImageType,
MovingImageType,
DisplacementFieldType
PDEDeformableRegistrationFunctionType
 
typedef Superclass::PixelType PixelType
 
typedef SmartPointer< SelfPointer
 
typedef
FiniteDifferenceFunctionType::RadiusType 
RadiusType
 
typedef
SymmetricForcesDemonsRegistrationFilter 
Self
 
typedef FixedArray< double,
ImageDimension
StandardDeviationsType
 
typedef
PDEDeformableRegistrationFilter
< TFixedImage, TMovingImage,
TDisplacementField > 
Superclass
 
typedef
FiniteDifferenceFunctionType::TimeStepType 
TimeStepType
 
typedef OutputImageType UpdateBufferType
 

Public Member Functions

virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual bool CanRunInPlace () const
 
virtual ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
virtual void Delete ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData ()
 
CommandGetCommand (unsigned long tag)
 
virtual double GetCoordinateTolerance () const
 
bool GetDebug () const
 
virtual const
FiniteDifferenceFunctionType::Pointer & 
GetDifferenceFunction () const
 
virtual double GetDirectionTolerance () const
 
DisplacementFieldTypeGetDisplacementField ()
 
virtual const IdentifierTypeGetElapsedIterations ()
 
const FixedImageTypeGetFixedImage (void) const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
virtual bool GetInPlace () const
 
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (unsigned int idx) const
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
virtual double GetIntensityDifferenceThreshold () const
 
virtual bool GetIsInitialized ()
 
virtual const bool & GetManualReinitialization ()
 
virtual double GetMaximumError () const
 
virtual unsigned int GetMaximumKernelWidth () const
 
virtual const double & GetMaximumRMSError ()
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual double GetMetric () const
 
const MovingImageTypeGetMovingImage (void) const
 
virtual ModifiedTimeType GetMTime () const
 
MultiThreaderGetMultiThreader () const
 
virtual const char * GetNameOfClass () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
virtual const IdentifierTypeGetNumberOfIterations ()
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual const ThreadIdTypeGetNumberOfThreads ()
 
virtual std::vector
< SmartPointer< DataObject >
>::size_type 
GetNumberOfValidRequiredInputs () const
 
virtual const std::string & GetObjectName ()
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (void) const
 
OutputImageTypeGetOutput (unsigned int idx)
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual const float & GetProgress ()
 
virtual int GetReferenceCount () const
 
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
 
virtual bool GetReleaseDataFlag () const
 
NameArray GetRequiredInputNames () const
 
virtual const double & GetRMSChange () const
 
virtual const double & GetRMSChange ()
 
virtual bool GetSmoothDisplacementField () const
 
virtual bool GetSmoothUpdateField () const
 
virtual const
StandardDeviationsType
GetStandardDeviations ()
 
virtual const TimeStampGetTimeStamp () const
 
virtual const
StandardDeviationsType
GetUpdateFieldStandardDeviations ()
 
virtual const bool & GetUseImageSpacing ()
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasObserver (const EventObject &event) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual void InPlaceOff ()
 
virtual void InPlaceOn ()
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
 itkCloneMacro (Self)
 
virtual
ProcessObject::DataObjectPointer 
MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
virtual void ManualReinitializationOff ()
 
virtual void ManualReinitializationOn ()
 
virtual void Modified () const
 
virtual void PopBackInput ()
 
virtual void PopFrontInput ()
 
virtual void PrepareOutputs ()
 
void Print (std::ostream &os, Indent indent=0) const
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void Register () const
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
void ReleaseDataFlagOff ()
 
void ReleaseDataFlagOn ()
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void SetCoordinateTolerance (double _arg)
 
void SetDebug (bool debugFlag) const
 
virtual void SetDifferenceFunction (FiniteDifferenceFunctionType *_arg)
 
virtual void SetDirectionTolerance (double _arg)
 
void SetFixedImage (const FixedImageType *ptr)
 
void SetInitialDisplacementField (const DisplacementFieldType *ptr)
 
virtual void SetInPlace (bool _arg)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TDisplacementField *image)
 
virtual void SetIntensityDifferenceThreshold (double)
 
virtual void SetIsInitialized (bool _arg)
 
virtual void SetManualReinitialization (bool _arg)
 
virtual void SetMaximumError (double _arg)
 
virtual void SetMaximumKernelWidth (unsigned int _arg)
 
virtual void SetMaximumRMSError (double _arg)
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMovingImage (const MovingImageType *ptr)
 
virtual void SetNumberOfIterations (IdentifierType _arg)
 
virtual void SetNumberOfThreads (ThreadIdType _arg)
 
virtual void SetObjectName (std::string _arg)
 
void SetProgress (float progress)
 
virtual void SetReferenceCount (int)
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual void SetRMSChange (double _arg)
 
virtual void SetSmoothDisplacementField (bool _arg)
 
virtual void SetSmoothUpdateField (bool _arg)
 
virtual void SetStandardDeviations (StandardDeviationsType _arg)
 
virtual void SetStandardDeviations (double value)
 
void SetStateToInitialized ()
 
void SetStateToUninitialized ()
 
virtual void SetUpdateFieldStandardDeviations (StandardDeviationsType _arg)
 
virtual void SetUpdateFieldStandardDeviations (double value)
 
virtual void SetUseImageSpacing (bool _arg)
 
virtual void SmoothDisplacementFieldOff ()
 
virtual void SmoothDisplacementFieldOn ()
 
virtual void SmoothUpdateFieldOff ()
 
virtual void SmoothUpdateFieldOn ()
 
virtual void StopRegistration ()
 
 typedef (Concept::MultiplyOperator< PixelType, double >) OutputTimesDoubleCheck
 
 typedef (Concept::AdditiveOperators< PixelType >) OutputAdditiveOperatorsCheck
 
 typedef (Concept::AdditiveAndAssignOperators< PixelType >) OutputAdditiveAndAssignOperatorsCheck
 
 typedef (Concept::Convertible< typename TDisplacementField::PixelType, PixelType >) InputConvertibleToOutputCheck
 
virtual void UnRegister () const
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void UseImageSpacingOff ()
 
virtual void UseImageSpacingOn ()
 

Static Public Member Functions

static void BreakOnError ()
 
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension
 
static const unsigned int InputImageDimension
 
static const unsigned int OutputImageDimension
 

Protected Types

typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension) > 
InputToOutputRegionCopierType
 
typedef int InternalReferenceCountType
 
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension) > 
OutputToInputRegionCopierType
 
typedef
UpdateBufferType::RegionType 
ThreadRegionType
 

Protected Member Functions

 SymmetricForcesDemonsRegistrationFilter ()
 
 ~SymmetricForcesDemonsRegistrationFilter ()
 
virtual void AddInput (DataObject *input)
 
virtual void AddOutput (DataObject *output)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void AfterThreadedGenerateData ()
 
virtual void AllocateOutputs ()
 
virtual void AllocateUpdateBuffer ()
 
virtual void ApplyUpdate (const TimeStepType &dt)
 
virtual void ApplyUpdate (const TimeStepType &dt)
 
virtual void ApplyUpdate (const TimeStepType &dt)=0
 
virtual void BeforeThreadedGenerateData ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual TimeStepType CalculateChange ()
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CopyInputToOutput ()
 
virtual void GenerateData ()
 
virtual void GenerateInputRequestedRegion ()
 
virtual void GenerateOutputInformation ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual const
ImageRegionSplitterBase
GetImageRegionSplitter (void) const
 Get the image splitter to split the image for multi-threading. More...
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs ()
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual const char * GetPrimaryInputName (void) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual const char * GetPrimaryOutputName (void) const
 
virtual bool GetRunningInPlace () const
 
virtual UpdateBufferTypeGetUpdateBuffer ()
 
virtual bool Halt ()
 
virtual void Initialize ()
 
virtual void InitializeIteration ()
 
virtual LightObject::Pointer InternalClone () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
 
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
virtual void PostProcessOutput ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
void PrintSelf (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual void PropagateResetPipeline ()
 
void PushBackInput (const DataObject *input)
 
void PushFrontInput (const DataObject *input)
 
virtual void ReleaseInputs ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 Remove an input. More...
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
virtual TimeStepType ResolveTimeStep (const std::vector< TimeStepType > &timeStepList, const std::vector< bool > &valid) const
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetElapsedIterations (IdentifierType _arg)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *input)
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
void SetRequiredInputNames (const NameArray &)
 
virtual void SetTimeStamp (const TimeStamp &time)
 
virtual void SmoothDisplacementField ()
 
virtual void SmoothUpdateField ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
 
virtual void ThreadedApplyUpdate (const TimeStepType &dt, const ThreadRegionType &regionToProcess, ThreadIdType threadId)
 
virtual TimeStepType ThreadedCalculateChange (const ThreadRegionType &regionToProcess, ThreadIdType threadId)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual bool ThreadedHalt (void *)
 
virtual void VerifyInputInformation ()
 Verifies that the input images occupy the same physical space and the each index is at the same physical location. More...
 
virtual void VerifyPreconditions ()
 Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown. More...
 

Static Protected Member Functions

static const
ImageRegionSplitterBase
GetGlobalDefaultSplitter ()
 Returns the default image region splitter. More...
 
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 

Protected Attributes

IdentifierType m_ElapsedIterations
 
bool m_IsInitialized
 
bool m_ManualReinitialization
 
double m_MaximumRMSError
 
IdentifierType m_NumberOfIterations
 
TimeStamp m_OutputInformationMTime
 
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 
double m_RMSChange
 
bool m_Updating
 

Private Member Functions

 SymmetricForcesDemonsRegistrationFilter (const Self &)
 
void operator= (const Self &)
 

Detailed Description

template<typename TFixedImage, typename TMovingImage, typename TDisplacementField>
class itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >

Deformably register two images using the demons algorithm.

This class was contributed by Corinne Mattmann, ETH Zurich, Switzerland. based on a variation of the DemonsRegistrationFilter. The basic modification is to use equation (5) from Thirion's paper along with the modification for avoiding large deformations when gradients have small values.

SymmetricForcesDemonsRegistrationFilter implements the demons deformable algorithm that register two images by computing the deformation field which will map a moving image onto a fixed image.

A deformation field is represented as a image whose pixel type is some vector type with at least N elements, where N is the dimension of the fixed image. The vector type must support element access via operator []. It is assumed that the vector elements behave like floating point scalars.

This class is templated over the fixed image type, moving image type and the deformation field type.

The input fixed and moving images are set via methods SetFixedImage and SetMovingImage respectively. An initial deformation field maybe set via SetInitialDisplacementField or SetInput. If no initial field is set, a zero field is used as the initial condition.

The algorithm has one parameters: the number of iteration to be performed.

The output deformation field can be obtained via methods GetOutput or GetDisplacementField.

This class make use of the finite difference solver hierarchy. Update for each iteration is computed in DemonsRegistrationFunction.

Warning
This filter assumes that the fixed image type, moving image type and deformation field type all have the same number of dimensions.
See Also
SymmetricForcesDemonsRegistrationFunction
DemonsRegistrationFilter
DemonsRegistrationFunction

Definition at line 70 of file itkSymmetricForcesDemonsRegistrationFilter.h.

Member Typedef Documentation

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef SmartPointer< const Self > itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::ConstPointer

Definition at line 79 of file itkSymmetricForcesDemonsRegistrationFilter.h.

typedef Superclass::DataObjectIdentifierType itk::ImageSource< TDisplacementField >::DataObjectIdentifierType
inherited

Definition at line 99 of file itkImageSource.h.

Smart Pointer type to a DataObject.

Definition at line 97 of file itkImageSource.h.

STL array of const pointer to the data objects STL array of pointer to the data objects

Definition at line 137 of file itkProcessObject.h.

typedef Superclass::DataObjectPointerArraySizeType itk::ImageSource< TDisplacementField >::DataObjectPointerArraySizeType
inherited

Definition at line 100 of file itkImageSource.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef SymmetricForcesDemonsRegistrationFunction< FixedImageType, MovingImageType, DisplacementFieldType > itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::DemonsRegistrationFunctionType

DemonsRegistrationFilterFunction type.

Definition at line 111 of file itkSymmetricForcesDemonsRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::DisplacementFieldPointer itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::DisplacementFieldPointer
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::DisplacementFieldType itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::DisplacementFieldType

Deformation field type.

Definition at line 98 of file itkSymmetricForcesDemonsRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::FiniteDifferenceFunctionType itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::FiniteDifferenceFunctionType
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef FixedImageType::ConstPointer itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::FixedImageConstPointer
inherited

Definition at line 93 of file itkPDEDeformableRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::FixedImagePointer itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::FixedImagePointer

Definition at line 90 of file itkSymmetricForcesDemonsRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::FixedImageType itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::FixedImageType

FixedImage image type.

Definition at line 86 of file itkSymmetricForcesDemonsRegistrationFilter.h.

typedef InputImageType::ConstPointer itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InputImageConstPointer
inherited

Definition at line 93 of file itkInPlaceImageFilter.h.

typedef InputImageType::PixelType itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InputImagePixelType
inherited

Definition at line 95 of file itkInPlaceImageFilter.h.

typedef InputImageType::Pointer itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InputImagePointer
inherited

Definition at line 92 of file itkInPlaceImageFilter.h.

typedef InputImageType::RegionType itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InputImageRegionType
inherited

Definition at line 94 of file itkInPlaceImageFilter.h.

typedef Superclass::InputImageType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::InputImageType
inherited

Convenient typedefs

Definition at line 82 of file itkDenseFiniteDifferenceImageFilter.h.

typedef TDisplacementField ::PixelType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::InputPixelType
inherited

Definition at line 154 of file itkFiniteDifferenceImageFilter.h.

typedef NumericTraits< InputPixelType >::ValueType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::InputPixelValueType
inherited

Definition at line 159 of file itkFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::InputToOutputRegionCopierType
protectedinherited

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 241 of file itkImageToImageFilter.h.

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 152 of file itkLightObject.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef MovingImageType::ConstPointer itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::MovingImageConstPointer
inherited

Definition at line 98 of file itkPDEDeformableRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::MovingImagePointer itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::MovingImagePointer

Definition at line 94 of file itkSymmetricForcesDemonsRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::MovingImageType itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::MovingImageType

MovingImage image type.

Definition at line 93 of file itkSymmetricForcesDemonsRegistrationFilter.h.

STL array of data object names

Definition at line 142 of file itkProcessObject.h.

typedef FiniteDifferenceFunctionType::NeighborhoodScalesType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::NeighborhoodScalesType
inherited

Definition at line 168 of file itkFiniteDifferenceImageFilter.h.

typedef Superclass::OutputImagePixelType itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::OutputImagePixelType
inherited

Definition at line 88 of file itkInPlaceImageFilter.h.

typedef Superclass::OutputImagePointer itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::OutputImagePointer
inherited

Definition at line 86 of file itkInPlaceImageFilter.h.

typedef Superclass::OutputImageRegionType itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::OutputImageRegionType
inherited

Definition at line 87 of file itkInPlaceImageFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef Superclass::OutputImageType itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::OutputImageType
inherited

Types inherithed from the superclass

Definition at line 110 of file itkPDEDeformableRegistrationFilter.h.

typedef TDisplacementField ::PixelType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::OutputPixelType
inherited

The pixel type of the output image will be used in computations.

Definition at line 153 of file itkFiniteDifferenceImageFilter.h.

typedef NumericTraits< OutputPixelType >::ValueType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::OutputPixelValueType
inherited

Extract value type in case the pixel is of vector type

Definition at line 158 of file itkFiniteDifferenceImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::OutputToInputRegionCopierType
protectedinherited

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 247 of file itkImageToImageFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef PDEDeformableRegistrationFunction< FixedImageType, MovingImageType, DisplacementFieldType > itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::PDEDeformableRegistrationFunctionType
inherited

PDEDeformableRegistrationFilterFunction type.

Definition at line 118 of file itkPDEDeformableRegistrationFilter.h.

typedef Superclass::PixelType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::PixelType
inherited

The pixel type of the output image will be used in computations. Inherited from the superclass.

Definition at line 96 of file itkDenseFiniteDifferenceImageFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef SmartPointer< Self > itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::Pointer

Definition at line 78 of file itkSymmetricForcesDemonsRegistrationFilter.h.

typedef FiniteDifferenceFunctionType::RadiusType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::RadiusType
inherited

Definition at line 167 of file itkFiniteDifferenceImageFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef SymmetricForcesDemonsRegistrationFilter itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::Self

Standard class typedefs.

Definition at line 76 of file itkSymmetricForcesDemonsRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef FixedArray< double, ImageDimension > itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::StandardDeviationsType
inherited

Definition at line 171 of file itkPDEDeformableRegistrationFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField > itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::Superclass

Definition at line 77 of file itkSymmetricForcesDemonsRegistrationFilter.h.

typedef UpdateBufferType::RegionType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ThreadRegionType
protectedinherited

The type of region used for multithreading

Definition at line 148 of file itkDenseFiniteDifferenceImageFilter.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
typedef FiniteDifferenceFunctionType::TimeStepType itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::TimeStepType

Take timestep type from the FiniteDifferenceFunction.

Definition at line 107 of file itkSymmetricForcesDemonsRegistrationFilter.h.

typedef OutputImageType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::UpdateBufferType
inherited

The container type for the update buffer.

Definition at line 102 of file itkDenseFiniteDifferenceImageFilter.h.

Constructor & Destructor Documentation

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SymmetricForcesDemonsRegistrationFilter ( )
protected

Default constructor

Definition at line 29 of file itkSymmetricForcesDemonsRegistrationFilter.hxx.

References itk::SmartPointer< TObjectType >::GetPointer().

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::~SymmetricForcesDemonsRegistrationFilter ( )
inlineprotected
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SymmetricForcesDemonsRegistrationFilter ( const Self )
private

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( )
virtualinherited
virtual void itk::ProcessObject::AbortGenerateDataOn ( )
virtualinherited

Turn on and off the AbortGenerateData flag.

void itk::ProcessObject::AddInput ( DataObject input)
protectedvirtualinherited
unsigned long itk::Object::AddObserver ( const EventObject event,
Command cmd 
)
inherited

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

Definition at line 398 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver ( const EventObject event,
Command cmd 
) const
inherited

Definition at line 409 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::ProcessObject::AddOutput ( DataObject output)
protectedvirtualinherited

Adds an output to the first null position in the output list. Expands the list memory if necessary

Definition at line 518 of file itkProcessObject.cxx.

bool itk::ProcessObject::AddRequiredInputName ( const DataObjectIdentifierType name)
protectedinherited

Methods to add/remove and query the set of required inputs by name.

Definition at line 840 of file itkProcessObject.cxx.

bool itk::ProcessObject::AddRequiredInputName ( const DataObjectIdentifierType name,
DataObjectPointerArraySizeType  idx 
)
protectedinherited

Definition at line 865 of file itkProcessObject.cxx.

virtual void itk::ImageSource< TDisplacementField >::AfterThreadedGenerateData ( void  )
inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 311 of file itkImageSource.h.

virtual void itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::AllocateOutputs ( )
inlineprotectedvirtualinherited

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Since InPlaceImageFilter's can use an overwritten version of the input for its output, the output buffer should not be allocated. When possible, we graft the input to the filter to the output. If an InPlaceFilter has multiple outputs, then it would need to override this method to graft one of its outputs and allocate the remaining. If a filter is threaded (i.e. it provides an implementation of ThreadedGenerateData()), this method is called automatically. If an InPlaceFilter is not threaded (i.e. it provides an implementation of GenerateData()), then this method (or equivalent) must be called in GenerateData().

Reimplemented from itk::ImageSource< TDisplacementField >.

Definition at line 140 of file itkInPlaceImageFilter.h.

virtual void itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::AllocateUpdateBuffer ( )
protectedvirtualinherited

This method allocates storage in m_UpdateBuffer. It is called from Superclass::GenerateData().

Implements itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

virtual void itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ApplyUpdate ( const TimeStepType dt)
protectedvirtualinherited

This method applies changes from the m_UpdateBuffer to the output using the ThreadedApplyUpdate() method and a multithreading mechanism. "dt" is the time step to use for the update of each pixel.

Reimplemented in itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, and itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::ApplyUpdate ( const TimeStepType dt)
protectedvirtual
virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ApplyUpdate ( const TimeStepType dt)
protectedpure virtualinherited

This method is defined by a subclass to apply changes to the output from an update buffer and a time step value "dt".

Parameters
dtTime step value.
virtual void itk::ImageSource< TDisplacementField >::BeforeThreadedGenerateData ( void  )
inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::TimeVaryingVelocityFieldIntegrationImageFilter< TTimeVaryingVelocityField, TDisplacementField >.

Definition at line 299 of file itkImageSource.h.

void itk::LightObject::BreakOnError ( )
staticinherited

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

Definition at line 150 of file itkLightObject.cxx.

void itk::ProcessObject::CacheInputReleaseDataFlags ( )
protectedvirtualinherited

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Definition at line 1794 of file itkProcessObject.cxx.

Referenced by itk::TemporalProcessObject::UpdateOutputData().

virtual TimeStepType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::CalculateChange ( )
protectedvirtualinherited

This method populates an update buffer with changes for each pixel in the output using the ThreadedCalculateChange() method and a multithreading mechanism. Returns value is a time step to be used for the update.

Implements itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::CallCopyInputRegionToOutputRegion ( OutputImageRegionType destRegion,
const InputImageRegionType srcRegion 
)
protectedvirtualinherited

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::CallCopyOutputRegionToInputRegion ( InputImageRegionType destRegion,
const OutputImageRegionType srcRegion 
)
protectedvirtualinherited

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

virtual bool itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::CanRunInPlace ( void  ) const
virtualinherited

Can the filter run in place? To do so, the filter's first input and output must have the same dimension and pixel type. This method can be used in conjunction with the InPlace ivar to determine whether a particular use of the filter is really running in place. Some filters may be able to optimize their operation if the InPlace is true and CanRunInPlace is true. CanRunInPlace may also be overridded by InPlaceImageFilter subclasses to fine tune its behavior.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::CopyInputToOutput ( )
protectedvirtualinherited

A simple method to copy the data from the input to the output. If the input does not exist, a zero field is written to the output.

Reimplemented from itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

Definition at line 268 of file itkPDEDeformableRegistrationFilter.hxx.

References itk::ImageRegionIterator< TImage >::Value().

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual::itk::LightObject::Pointer itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::CreateAnother ( void  ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

void itk::Object::DebugOff ( ) const
virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const
virtualinherited

Turn debugging output on.

Definition at line 243 of file itkObject.cxx.

void itk::LightObject::Delete ( )
virtualinherited

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

Delete a itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C++ delete method will not work with reference counting.

Definition at line 91 of file itkLightObject.cxx.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject )
inlinevirtualinherited

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, otb::ShapeAttributesLabelMapFilter< TImage, TLabelImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >, itk::WatershedImageFilter< TInputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, otb::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::LabelOverlapMeasuresImageFilter< TLabelImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, otb::BandsStatisticsAttributesLabelMapFilter< TImage, TFeatureImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::StereorectificationDisplacementFieldSource< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, otb::ImportVectorImageFilter< TOutputImageType >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::BlockMatchingImageFilter< TFixedImage, TMovingImage, TFeatures, TDisplacements, TSimilarities >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, otb::ImportImageFilter< TOutputImageType >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::ImageSeriesReader< TOutputImage >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, otb::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::MinimumMaximumImageFilter< TInputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, otb::ImageFileReader< TOutputImage, ConvertPixelTraits >, otb::LabelImageToLabelMapWithAdjacencyFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, otb::LabelObjectOpeningMuParserFilter< TImage, TFunction >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::BinaryFillholeImageFilter< TInputImage >, otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, otb::VCAImageFilter< TVectorImage >, itk::HalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TLabelMap >, itk::LabelMapFilter< TLabelMap, TOutputImage >, itk::LabelMapFilter< TInputLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::LabelMapFilter< TInputLabelMap, TInputLabelMap >, itk::TobogganImageFilter< TInputImage >, itk::RealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::TemporalProcessObject, itk::ForwardFFTImageFilter< TInputImage, TOutputImage >, otb::MorphologicalPyramid::Resampler< TInputImage, TOutputImage >, otb::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, and itk::InverseFFTImageFilter< TInputImage, TOutputImage >.

Definition at line 331 of file itkProcessObject.h.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GenerateData ( void  )
protectedvirtualinherited

This is the default, high-level algorithm for calculating finite difference solutions. It calls virtual methods in its subclasses to implement the major steps of the algorithm.

Reimplemented from itk::ImageSource< TDisplacementField >.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GenerateInputRequestedRegion ( void  )
protectedvirtualinherited

It is difficult to compute in advance the input moving image region required to compute the requested output region. Thus the safest thing to do is to request for the whole moving image.

For the fixed image and displacement field, the input requested region set to be the same as that of the output requested region.

Reimplemented from itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

Reimplemented in otb::NCCRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

Definition at line 328 of file itkPDEDeformableRegistrationFilter.hxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GenerateOutputInformation ( void  )
protectedvirtualinherited

By default the output displacement field has the same Spacing, Origin and LargestPossibleRegion as the input/initial displacement field. If the initial displacement field is not set, the output information is copied from the fixed image.

Reimplemented from itk::ProcessObject.

Definition at line 299 of file itkPDEDeformableRegistrationFilter.hxx.

void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject output)
protectedvirtualinherited

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

By default we set all the output requested regions to be the same.

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< TScalar >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::Relabeler< TScalar, TImageDimension >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >, itk::VideoToVideoFilter< TInputVideoStream, TOutputVideoStream >, itk::VideoToVideoFilter< itk::VideoStream< TImageToImageFilter::InputImageType >, itk::VideoStream< TImageToImageFilter::OutputImageType > >, itk::VideoToVideoFilter< TVideoStream, TVideoStream >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, and itk::TemporalProcessObject.

Definition at line 1614 of file itkProcessObject.cxx.

virtual const bool& itk::ProcessObject::GetAbortGenerateData ( )
virtualinherited

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::TemporalProcessObject::UpdateOutputData().

Command * itk::Object::GetCommand ( unsigned long  tag)
inherited

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to assign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

Definition at line 421 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

virtual double itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::GetCoordinateTolerance ( ) const
virtualinherited
bool itk::Object::GetDebug ( ) const
inherited

Get the value of the debug flag.

Definition at line 263 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

virtual const FiniteDifferenceFunctionType ::Pointer& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetDifferenceFunction ( ) const
virtualinherited

This method returns a pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns
A FiniteDifferenceObject pointer.
virtual double itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::GetDirectionTolerance ( ) const
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
DisplacementFieldType* itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetDisplacementField ( void  )
inlineinherited

Get output displacement field.

Definition at line 141 of file itkPDEDeformableRegistrationFilter.h.

References itk::ImageSource< TDisplacementField >::GetOutput().

virtual const IdentifierType& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetElapsedIterations ( )
virtualinherited

Get the number of elapsed iterations of the filter.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
const PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::FixedImageType * itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetFixedImage ( void  ) const
inherited

Get the fixed image.

Definition at line 82 of file itkPDEDeformableRegistrationFilter.hxx.

References itk::ProcessObject::GetInput().

static const ImageRegionSplitterBase* itk::ImageSource< TDisplacementField >::GetGlobalDefaultSplitter ( void  )
inlinestaticprotectedinherited

Returns the default image region splitter.

This is an adapter function from the private common base class to the interface of this class.

Definition at line 318 of file itkImageSource.h.

bool itk::Object::GetGlobalWarningDisplay ( )
staticinherited

Get the value of the global debug output control flag.

Definition at line 391 of file itkObject.cxx.

virtual const ImageRegionSplitterBase* itk::ImageSource< TDisplacementField >::GetImageRegionSplitter ( void  ) const
protectedvirtualinherited

Get the image splitter to split the image for multi-threading.

The Splitter object divides the image into regions for threading or streaming. The algorithms on how to split an images are separated into class so that they can be easily be reused. When deriving from this class to write a filter consideration to the algorithm used to divide the image should be made. If a change is desired this method should be overridden to return the appropriate object.

ProcessObject::DataObjectPointerArray itk::ProcessObject::GetIndexedInputs ( )
inherited

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 1026 of file itkProcessObject.cxx.

ProcessObject::DataObjectPointerArray itk::ProcessObject::GetIndexedOutputs ( )
inherited

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 754 of file itkProcessObject.cxx.

virtual bool itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::GetInPlace ( ) const
virtualinherited
const InputImageType* itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::GetInput ( void  ) const
inherited
const InputImageType* itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::GetInput ( unsigned int  idx) const
inherited
DataObject * itk::ProcessObject::GetInput ( const DataObjectIdentifierType key)
protectedinherited

Return an input, NULL is returned if out of bounds or not set.

Definition at line 769 of file itkProcessObject.cxx.

References NULL.

Referenced by itk::ComposeImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), otb::FunctionToImageFilter< TInputImage, TOutputImage, TFunction >::BeforeThreadedGenerateData(), otb::FunctionWithNeighborhoodToImageFilter< TInputImage, TOutputImage, TFunction >::BeforeThreadedGenerateData(), itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >::BeforeThreadedGenerateData(), otb::KullbackLeiblerSupervizedDistanceImageFilter< TInputImage1, TInputImage2, TInputROIImage, TOutputImage >::BeforeThreadedGenerateData(), otb::QuaternaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TInputImage4, TOutputImage, TFunction >::BeforeThreadedGenerateData(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::BeforeThreadedGenerateData(), itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >::CalculateInnerProduct(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::CreateMesh(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::GenerateData(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::GenerateData(), itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::GenerateData(), itk::TemporalProcessObject::GenerateData(), itk::DivideImageFilter< TInputImage, Image< TConstant, TInputImage::ImageDimension >, TOutputImage >::GenerateData(), itk::Statistics::SampleClassifierFilter< TSample >::GenerateData(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::GenerateData(), itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GenerateData(), itk::TemporalProcessObject::GenerateInputRequestedRegion(), itk::VideoToVideoFilter< TInputVideoStream, TOutputVideoStream >::GenerateInputRequestedRegion(), itk::ImageTransformer< TInputImage >::GenerateInputRequestedRegion(), itk::TemporalProcessObject::GenerateInputRequestedTemporalRegion(), itk::HistogramToImageFilter< THistogram, TImage, TFunction >::GenerateOutputInformation(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::GenerateOutputInformation(), otb::OGRDataSourceToLabelImageFilter< TOutputImage >::GenerateOutputInformation(), otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >::GenerateOutputInformation(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GenerateOutputInformation(), otb::Multi3DMapToDEMFilter< T3DImage, TMaskImage, TOutputDEMImage >::Get3DMapInput(), itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >::GetBackgroundImage(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetBoundaryB(), otb::MorphologicalPyramidSegmentationFilter< TInputImage, TOutputImage >::GetBrighterDetails(), itk::DisplacementFieldToBSplineImageFilter< TInputImage, TOutputImage >::GetConfidenceImage(), itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >::GetConfidenceImage(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetConstant1(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetConstant2(), otb::MorphologicalPyramidSegmentationFilter< TInputImage, TOutputImage >::GetDarkerDetails(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::GetDestinationImage(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetDirectEpipolarRightGrid(), otb::BijectionCoherencyFilter< TDisparityImage, TOutputImage >::GetDirectHorizontalDisparityMapInput(), otb::BijectionCoherencyFilter< TDisparityImage, TOutputImage >::GetDirectVerticalDisparityMapInput(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetDisparityMaskInput(), otb::DisparityMapTo3DFilter< TDisparityImage, TOutputImage, TEpipolarGridImage, TMaskImage >::GetDisparityMaskInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetDisparityMaskInput(), otb::MultiDisparityMapTo3DFilter< TDisparityImage, TOutputImage, TMaskImage, TResidueImage >::GetDisparityMaskInput(), itk::WarpMeshFilter< TInputMesh, TOutputMesh, TDisplacementField >::GetDisplacementField(), otb::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >::GetDisplacementField(), itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >::GetDisplacementField(), itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >::GetDisplacementField(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetEdgesDisparityInput(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::GetEquivalencyTable(), itk::StatisticsLabelMapFilter< TImage, TFeatureImage >::GetFeatureImage(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GetFeatureImage(), itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), otb::StatisticsAttributesLabelMapFilter< TImage, TFeatureImage >::GetFeatureImage(), itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), otb::BandsStatisticsAttributesLabelMapFilter< TImage, TFeatureImage >::GetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >::GetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::GetFirstInput(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetFixedImage(), itk::GPUPDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TParentImageFilter >::GetFixedImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >::GetFixedImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::GetFixedImage(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::GetFixedImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::GetFixedImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::GetFixedImageMask(), otb::FineRegistrationImageFilter< TInputImage, T0utputCorrelation, TOutputDisplacementField >::GetFixedInput(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::GetGradient(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetGradientImage(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetHorizontalDisparityInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetHorizontalDisparityInput(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetHorizontalDisparityMapInput(), otb::DisparityMapTo3DFilter< TDisparityImage, TOutputImage, TEpipolarGridImage, TMaskImage >::GetHorizontalDisparityMapInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetHorizontalDisparityMapInput(), otb::MultiDisparityMapTo3DFilter< TDisparityImage, TOutputImage, TMaskImage, TResidueImage >::GetHorizontalDisparityMapInput(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::GetImageInput(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetInfDeci(), otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >::GetInfDeci(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetInfFilter(), otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >::GetInfFilter(), otb::ProspectModel::GetInput(), otb::GISTableToGISTableFilter< TInputGISTable, TOutputGISTable >::GetInput(), otb::ImageToImageListFilter< TInputImage, TOutputImage >::GetInput(), otb::ImageListToRCC8GraphFilter< TInputImage, TOutputGraph >::GetInput(), otb::LineSpatialObjectListToPointSetFilter< TLinesList, TPointSet >::GetInput(), otb::ImageListToImageListFilter< TInputImage, TOutputImage >::GetInput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::GetInput(), itk::PathToPathFilter< TInputPath, TOutputPath >::GetInput(), otb::ImageListToImageFilter< TInputImage, TOutputImage >::GetInput(), otb::ObjectListToObjectListFilter< TInputList, TOutputList >::GetInput(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::GetInput(), itk::PathToImageFilter< TInputPath, TOutputImage >::GetInput(), itk::Statistics::SampleToSubsampleFilter< TSample >::GetInput(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::GetInput(), otb::ImageToLineSpatialObjectListFilter< TInputImage >::GetInput(), otb::JointMassOfBeliefFilter< TMassFunction >::GetInput(), itk::MeshToMeshFilter< TInputMesh, TOutputMesh >::GetInput(), itk::HistogramThresholdCalculator< THistogram, TOutput >::GetInput(), otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >::GetInput(), otb::ImageToEnvelopeVectorDataFilter< TInputImage, TOutputVectorData >::GetInput(), otb::ImageToOSMVectorDataGenerator< TImage >::GetInput(), itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >::GetInput(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::GetInput(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::GetInput(), itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetInput(), otb::Statistics::ListSampleToListSampleFilter< TInputSampleList, TOutputSampleList >::GetInput(), otb::GISTableToVectorDataFilter< TGISTable, TVectorData >::GetInput(), otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >::GetInput(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::GetInput(), otb::VectorDataToVectorDataFilter< TInputVectorData, TOutputVectorData >::GetInput(), otb::SparseWvltToAngleMapperListFilter< TInputImageList, TOutputSampleList, VNbInputImages >::GetInput(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::GetInput(), itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >::GetInput(), otb::OGRDataSourceToLabelImageFilter< TOutputImage >::GetInput(), itk::ImageTransformer< TInputImage >::GetInput(), itk::VideoFileWriter< TInputVideoStream >::GetInput(), itk::VideoToVideoFilter< TInputVideoStream, TOutputVideoStream >::GetInput(), otb::LabelMapToVectorDataFilter< TLabelMap, TVectorData, TFieldsFunctor >::GetInput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetInput(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetInput(), otb::RCC8GraphFileWriter< TInputGraph >::GetInput(), otb::PathListToHistogramGenerator< TPath, TFunction >::GetInput(), otb::VectorDataToImageFilter< TVectorData, TImage >::GetInput(), otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >::GetInput(), otb::VectorDataToGISTableFilter< TVectorData, TGISTable >::GetInput(), itk::ImageFileWriter< TInputImage >::GetInput(), otb::PolygonListToRCC8GraphFilter< TPolygonList, TOutputGraph >::GetInput(), otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >::GetInput(), otb::LabelMapToGISTableFilter< TLabelMap, TGISTable >::GetInput(), itk::ImageSeriesWriter< TInputImage, TOutputImage >::GetInput(), otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >::GetInput(), otb::VectorDataToMapFilter< TVectorData, TImage >::GetInput(), itk::ImageToImageFilter< TInputImage, TOutputImage >::GetInput(), otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >::GetInput(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetInput(), otb::VectorDataToLabelMapWithAttributesFilter< TVectorData, TLabelMap >::GetInput(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::GetInput(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInput(), otb::AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >::GetInput1(), otb::BinaryFunctorNeighborhoodImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetInput1(), otb::PersistentCompareImageFilter< TInputImage >::GetInput1(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::GetInput1(), otb::ImageToImageRCC8Calculator< TInputImage >::GetInput1(), otb::BinaryFunctorNeighborhoodJoinHistogramImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetInput1(), otb::MultivariateAlterationDetectorImageFilter< TInputImage, TOutputImage >::GetInput1(), otb::AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >::GetInput2(), otb::BinaryFunctorNeighborhoodImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetInput2(), itk::InterpolateImageFilter< TInputImage, TOutputImage >::GetInput2(), otb::PersistentCompareImageFilter< TInputImage >::GetInput2(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::GetInput2(), otb::ImageToImageRCC8Calculator< TInputImage >::GetInput2(), otb::BinaryFunctorNeighborhoodJoinHistogramImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::GetInput2(), itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput2(), itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >::GetInput2(), itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput2(), itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput2(), itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput2(), otb::MultivariateAlterationDetectorImageFilter< TInputImage, TOutputImage >::GetInput2(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::GetInputDirection(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::GetInputDirection(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputEquivalencyTable(), otb::LikelihoodPathListFilter< TPath, TImage >::GetInputImage(), otb::ImageFittingPolygonListFilter< TPath, TImage >::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::GetInputImage(), itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >::GetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::GetInputImage(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::GetInputImage(), itk::watershed::Segmenter< InputImageType >::GetInputImage(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::GetInputLabel(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::GetInputLabelImage(), otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetInputLabelImage(), otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetInputLabelImage(), otb::LabelMapToSampleListFilter< TInputLabelMap, TOutputSampleList, TMeasurementFunctor >::GetInputLabelMap(), otb::ImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::GetInputMask(), otb::SOMImageClassificationFilter< TInputImage, TOutputImage, TSOMMap, TMaskImage >::GetInputMask(), otb::SVMImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::GetInputMask(), otb::KMeansImageClassificationFilter< TInputImage, TOutputImage, VMaxSampleDimension, TMaskImage >::GetInputMask(), otb::DSFusionOfClassifiersImageFilter< TInputImage, TOutputImage, TMaskImage >::GetInputMask(), otb::PersistentImageToOGRLayerSegmentationFilter< TImageType, TSegmentationFilter >::GetInputMask(), otb::PrintableImageFilter< TInputImage, TMaskImage >::GetInputMask(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::GetInputPointSet(), otb::SVMSampleListModelEstimator< TInputSampleList, TTrainingSampleList, TMeasurementFunctor >::GetInputSampleList(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::GetInputSegmentTree(), otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetInputSpectralImage(), otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetInputSpectralImage(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::GetInputVelocityImage(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetInverseEpipolarLeftGrid(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::GetLabeledImage(), itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >::GetLabelImage(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput(), itk::LabelMapFilter< TInputLabelMap, TInputLabelMap >::GetLabelMap(), otb::DisparityMapTo3DFilter< TDisparityImage, TOutputImage, TEpipolarGridImage, TMaskImage >::GetLeftEpipolarGridInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetLeftEpipolarGridInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetLeftInput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetLeftInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetLeftInput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetLeftMaskInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetLeftMaskInput(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetLeftSensorImageInput(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::GetListSample(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::GetListSample(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetLowerInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetLowerThresholdInput(), otb::SOMClassifier< TSample, TSOMMap, TLabel >::GetMap(), itk::BinaryReconstructionLabelMapFilter< TImage, TMarkerImage, TAttributeAccessor >::GetMarkerImage(), itk::BinaryReconstructionByErosionImageFilter< TInputImage >::GetMarkerImage(), itk::BinaryReconstructionByDilationImageFilter< TInputImage >::GetMarkerImage(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::GetMaskImage(), itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::GetMaskImage(), itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::GetMaskImage(), itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >::GetMaskImage(), itk::BinaryReconstructionByErosionImageFilter< TInputImage >::GetMaskImage(), itk::BinaryReconstructionByDilationImageFilter< TInputImage >::GetMaskImage(), itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >::GetMaskImage(), itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >::GetMaskImage(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::GetMaskImage(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::GetMaskImage(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage(), otb::DisparityMapMedianFilter< TInputImage, TOutputImage, TMask >::GetMaskInput(), otb::Multi3DMapToDEMFilter< T3DImage, TMaskImage, TOutputDEMImage >::GetMaskInput(), otb::StereoSensorModelToElevationFilter< TInputImage, TOutputHeight >::GetMasterInput(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetMedianDisparityInput(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetMedianMaskInput(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetMovingImage(), itk::GPUPDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TParentImageFilter >::GetMovingImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >::GetMovingImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::GetMovingImage(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::GetMovingImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::GetMovingImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::GetMovingImageMask(), otb::FineRegistrationImageFilter< TInputImage, T0utputCorrelation, TOutputDisplacementField >::GetMovingInput(), otb::FusionImageBase< TInputMultiSpectralImage, TInputMultiSpectralInterpImage, TInputPanchroImage, TOutputImage, Functor::BayesianFunctor< TInputMultiSpectralImage::PixelType, TInputMultiSpectralInterpImage::PixelType, TInputPanchroImage::PixelType, TOutputImage::PixelType > >::GetMultiSpect(), otb::FusionImageBase< TInputMultiSpectralImage, TInputMultiSpectralInterpImage, TInputPanchroImage, TOutputImage, Functor::BayesianFunctor< TInputMultiSpectralImage::PixelType, TInputMultiSpectralInterpImage::PixelType, TInputPanchroImage::PixelType, TOutputImage::PixelType > >::GetMultiSpectInterp(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::GetNonConstImageInput(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::GetNonConstPathInput(), otb::PersistentImageToOGRDataFilter< TImage >::GetOGRDataSource(), otb::FusionImageBase< TInputMultiSpectralImage, TInputMultiSpectralInterpImage, TInputPanchroImage, TOutputImage, Functor::BayesianFunctor< TInputMultiSpectralImage::PixelType, TInputMultiSpectralInterpImage::PixelType, TInputPanchroImage::PixelType, TOutputImage::PixelType > >::GetPanchro(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::GetPanInput(), otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::GetPanInput(), otb::PointSetToDisplacementFieldGenerator< TPointSet, TDisplacementField >::GetPointSet(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::GetPointSet(), itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::GetReferenceImage(), otb::MorphologicalPyramidSegmentationFilter< TInputImage, TOutputImage >::GetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::GetReferenceImage(), otb::SailModel::GetReflectance(), otb::BijectionCoherencyFilter< TDisparityImage, TOutputImage >::GetReverseHorizontalDisparityMapInput(), otb::BijectionCoherencyFilter< TDisparityImage, TOutputImage >::GetReverseVerticalDisparityMapInput(), otb::DisparityMapTo3DFilter< TDisparityImage, TOutputImage, TEpipolarGridImage, TMaskImage >::GetRightEpipolarGridInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetRightEpipolarGridInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetRightInput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetRightInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetRightInput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetRightMaskInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetRightMaskInput(), otb::ROIdataConversion< TInputImage, TInputROIImage >::GetROIImage(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabel >::GetSamplesLocations(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::GetSecondInput(), otb::StereoSensorModelToElevationFilter< TInputImage, TOutputHeight >::GetSlaveInput(), otb::ImportGeoInformationImageFilter< TImage, TSourceImage >::GetSource(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::GetSourceImage(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetSubPixelMaskInput(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetSupDeci(), otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >::GetSupDeci(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetSupFilter(), otb::MorphologicalPyramidSynthesisFilter< TInputImage, TOutputImage >::GetSupFilter(), otb::VectorDataToSpecificDescriptionFilterBase< TVectorData >::GetSupport(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::GetTrainingImage(), otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetTrainingInput(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::GetTrainingPointSet(), otb::SVMSampleListModelEstimator< TInputSampleList, TTrainingSampleList, TMeasurementFunctor >::GetTrainingSampleList(), otb::SailModel::GetTransmittance(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetUpperInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetUpperThresholdInput(), otb::ImageAndVectorImageOperationFilter< TInputImage, TVectorInputImage, TOutputImage >::GetVectorInput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetVerticalDisparityInput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetVerticalDisparityInput(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetVerticalDisparityMapInput(), otb::DisparityMapTo3DFilter< TDisparityImage, TOutputImage, TEpipolarGridImage, TMaskImage >::GetVerticalDisparityMapInput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetVerticalDisparityMapInput(), otb::MultiDisparityMapTo3DFilter< TDisparityImage, TOutputImage, TMaskImage, TResidueImage >::GetVerticalDisparityMapInput(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::GetXsInput(), otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::GetXsInput(), itk::GPUMeanImageFilter< TInputImage, TOutputImage >::GPUGenerateData(), itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction, TParentImageFilter >::GPUGenerateData(), itk::GPUNeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType, TParentImageFilter >::GPUGenerateData(), itk::InPlaceImageFilter< TInputImage, TOutputImage >::InternalAllocateOutputs(), itk::BinaryPruningImageFilter< TInputImage, TOutputImage >::PrepareData(), itk::BinaryThinningImageFilter< TInputImage, TOutputImage >::PrepareData(), itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::PrepareData(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::SetFixedImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::SetMovingImage(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetReferenceImage(), itk::ImageToVectorImageFilter< TInputImage >::ThreadedGenerateData(), itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >::ThreadedGenerateData(), otb::FunctionToImageFilter< TInputImage, TOutputImage, TFunction >::ThreadedGenerateData(), otb::FunctionWithNeighborhoodToImageFilter< TInputImage, TOutputImage, TFunction >::ThreadedGenerateData(), itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >::ThreadedGenerateData(), otb::QuaternaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TInputImage4, TOutputImage, TFunction >::ThreadedGenerateData(), otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >::ThreadedGenerateData(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >::ThreadedGenerateData(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ThreadedGenerateData(), and itk::TemporalProcessObject::UpdateOutputInformation().

const DataObject * itk::ProcessObject::GetInput ( const DataObjectIdentifierType key) const
protectedinherited

Definition at line 781 of file itkProcessObject.cxx.

References NULL.

DataObject* itk::ProcessObject::GetInput ( DataObjectPointerArraySizeType  idx)
inlineprotectedinherited

Method used internally for getting an indexed input.

Definition at line 451 of file itkProcessObject.h.

References NULL.

const DataObject* itk::ProcessObject::GetInput ( DataObjectPointerArraySizeType  idx) const
inlineprotectedinherited

Definition at line 453 of file itkProcessObject.h.

References NULL.

ProcessObject::NameArray itk::ProcessObject::GetInputNames ( ) const
inherited

Return a array with the names of the inputs of this process object. The names are ordered lexicographically, and match the order of the data object produced by GetInputs()

Definition at line 820 of file itkProcessObject.cxx.

ProcessObject::DataObjectPointerArray itk::ProcessObject::GetInputs ( )
inherited

Return a array with the named inputs of this process object. The order of the inputs match the order of the input names produced by GetInputNames()

Definition at line 967 of file itkProcessObject.cxx.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
double itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetIntensityDifferenceThreshold ( ) const
virtual
virtual bool itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetIsInitialized ( )
virtualinherited
virtual const bool& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetManualReinitialization ( )
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual double itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetMaximumError ( ) const
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual unsigned int itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetMaximumKernelWidth ( ) const
virtualinherited
virtual const double& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetMaximumRMSError ( )
virtualinherited
MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )
inherited
const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const
inherited
Returns
A constant reference to this objects MetaDataDictionary.

Definition at line 548 of file itkObject.cxx.

References NULL.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
double itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetMetric ( ) const
virtual

Get the metric value. The metric value is the mean square difference in intensity between the fixed image and transforming moving image computed over the the overlapping region between the two images. This value is calculated for the current iteration

Get the metric value from the difference function

Definition at line 76 of file itkSymmetricForcesDemonsRegistrationFilter.hxx.

References itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::GetMetric().

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
const PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::MovingImageType * itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetMovingImage ( void  ) const
inherited

Get the moving image.

Definition at line 107 of file itkPDEDeformableRegistrationFilter.hxx.

References itk::ProcessObject::GetInput().

ModifiedTimeType itk::Object::GetMTime ( void  ) const
virtualinherited

Return this objects modified time.

Return the modification for this object.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexConjugatePixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::SpatialObject< VDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< TDimension >, itk::SpatialObject< TMesh::PointDimension >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::TransformToDisplacementFieldSource< TOutputImage, TTransformPrecisionType >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::LandmarkDisplacementFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 283 of file itkObject.cxx.

Referenced by itk::LandmarkDisplacementFieldSource< TOutputImage >::GetMTime(), itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::TransformToDisplacementFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< VDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetMTime(), itk::SpatialObject< TMesh::PointDimension >::GetObjectMTime(), and itk::ProcessObject::UpdateOutputInformation().

MultiThreader* itk::ProcessObject::GetMultiThreader ( ) const
inlineinherited

Return the multithreader used by this class.

Definition at line 385 of file itkProcessObject.h.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual const char* itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfIndexedInputs ( ) const
inherited

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many indexed inputs are non-null.

Definition at line 999 of file itkProcessObject.cxx.

References NULL.

Referenced by itk::STAPLEImageFilter< TInputImage, TOutputImage >::GetSensitivity(), and itk::STAPLEImageFilter< TInputImage, TOutputImage >::GetSpecificity().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfIndexedOutputs ( ) const
inherited
ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const
inherited

Get the size of the input container. This is not the number of inputs that have valid DataObject's assigned. If the Primary input is NULL it is not counted. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 986 of file itkProcessObject.cxx.

Referenced by itk::ComposeImageFilter< TInputImage, TOutputImage >::ComputeOutputPixel(), otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive(), itk::TemporalProcessObject::GenerateData(), itk::TemporalProcessObject::GenerateInputRequestedRegion(), and itk::HistogramThresholdCalculator< THistogram, TOutput >::GetInput().

virtual const IdentifierType& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetNumberOfIterations ( void  )
virtualinherited
ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const
inherited
virtual const DataObjectPointerArraySizeType& itk::ProcessObject::GetNumberOfRequiredInputs ( )
protectedvirtualinherited
virtual const DataObjectPointerArraySizeType& itk::ProcessObject::GetNumberOfRequiredOutputs ( )
protectedvirtualinherited
virtual const ThreadIdType& itk::ProcessObject::GetNumberOfThreads ( )
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
std::vector< SmartPointer< DataObject > >::size_type itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetNumberOfValidRequiredInputs ( ) const
virtualinherited

Get the number of valid inputs. For PDEDeformableRegistration, this checks whether the fixed and moving images have been set. While PDEDeformableRegistration can take a third input as an initial displacement field, this input is not a required input.

Reimplemented from itk::ProcessObject.

Definition at line 119 of file itkPDEDeformableRegistrationFilter.hxx.

virtual const std::string& itk::Object::GetObjectName ( )
virtualinherited
OutputImageType* itk::ImageSource< TDisplacementField >::GetOutput ( void  )
inherited

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Referenced by itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetDisplacementField(), and itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >::GetDisplacementField().

const OutputImageType* itk::ImageSource< TDisplacementField >::GetOutput ( void  ) const
inherited
OutputImageType* itk::ImageSource< TDisplacementField >::GetOutput ( unsigned int  idx)
inherited
DataObject * itk::ProcessObject::GetOutput ( const DataObjectIdentifierType key)
protectedinherited

Return an output

Definition at line 586 of file itkProcessObject.cxx.

References NULL.

Referenced by itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, TParentImageFilter >::AllocateOutputs(), itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeightingFunction(), itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeights(), itk::Statistics::WeightedMeanSampleFilter< TSample >::ComputeMeanWithWeightingFunction(), itk::Statistics::WeightedMeanSampleFilter< TSample >::ComputeMeanWithWeights(), otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::EnlargeOutputRequestedRegion(), otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::EnlargeOutputRequestedRegion(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::EnlargeOutputRequestedRegion(), itk::FastMarchingExtensionImageFilterBase< TInput, TOutput, TAuxValue, VAuxDimension >::EnlargeOutputRequestedRegion(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::EnlargeOutputRequestedRegion(), otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >::EnlargeOutputRequestedRegion(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FastCompute(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FastCompute(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogram(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogramWithMask(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FullCompute(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FullCompute(), itk::Statistics::NeighborhoodSampler< TSample >::GenerateData(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::GenerateData(), itk::Statistics::MeanSampleFilter< TSample >::GenerateData(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::GenerateData(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::GenerateData(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::GenerateData(), itk::Statistics::CovarianceSampleFilter< TSample >::GenerateData(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::GenerateData(), itk::TemporalProcessObject::GenerateData(), itk::Statistics::SampleClassifierFilter< TSample >::GenerateData(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::GenerateData(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::GenerateData(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GenerateData(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GenerateData(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GenerateData(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::GenerateData(), itk::TemporalProcessObject::GenerateInputRequestedRegion(), itk::TemporalProcessObject::GenerateInputRequestedTemporalRegion(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::GenerateOutputInformation(), otb::DEMCaracteristicsExtractor< TInputImage, TOutputImage >::GetAspectOutput(), itk::FastMarchingExtensionImageFilterBase< TInput, TOutput, TAuxValue, VAuxDimension >::GetAuxiliaryImage(), itk::watershed::Segmenter< InputImageType >::GetBoundary(), otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >::GetClusterBoundariesOutput(), otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetClusteredOutput(), otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetClusteredOutput(), otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >::GetClusteredOutput(), otb::MeanShiftSegmentationFilter< TInputImage, TOutputLabelImage, TOutputClusteredImage, TKernel >::GetClusteredOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterProminenceOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterShadeOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetComponentCorrelationOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetComponentCovarianceOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetComponentMeanOutput(), otb::GeodesicMorphologyDecompositionImageFilter< TInputImage, TOutputImage, TStructuringElement >::GetConcaveMap(), otb::GeodesicMorphologyIterativeDecompositionImageFilter< TImage, TStructuringElement >::GetConcaveOutput(), otb::GeodesicMorphologyDecompositionImageFilter< TInputImage, TOutputImage, TStructuringElement >::GetConvexMap(), otb::GeodesicMorphologyIterativeDecompositionImageFilter< TImage, TStructuringElement >::GetConvexOutput(), otb::StereoSensorModelToElevationFilter< TInputImage, TOutputHeight >::GetCorrelationOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetCorrelationOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetCorrelationOutput(), itk::Statistics::CovarianceSampleFilter< TSample >::GetCovarianceMatrixOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetCovarianceOutput(), otb::DisparityMapToDEMFilter< TDisparityImage, TInputImage, TOutputDEMImage, TEpipolarGridImage, TMaskImage >::GetDEMOutput(), otb::Multi3DMapToDEMFilter< T3DImage, TMaskImage, TOutputDEMImage >::GetDEMOutput(), itk::BlockMatchingImageFilter< TFixedImage, TMovingImage, TFeatures, TDisplacements, TSimilarities >::GetDisplacements(), itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetDistanceMap(), itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetDistanceMap(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEnergyOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEntropyOutput(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), otb::DEMCaracteristicsExtractor< TInputImage, TOutputImage >::GetExitanceOutput(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureMeansOutput(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureMeansOutput(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureStandardDeviationsOutput(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureStandardDeviationsOutput(), itk::FastMarchingUpwindGradientImageFilterBase< TInput, TOutput >::GetGradientImage(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformityOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetHaralickCorrelationOutput(), otb::SailModel::GetHemisphericalReflectance(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetHighGreyLevelRunEmphasisOutput(), otb::PersistentHistogramVectorImageFilter< TInputImage >::GetHistogramListOutput(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetHorizontalDisparityMapOutput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetHorizontalDisparityOutput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetHorizontalDisparityOutput(), otb::DEMCaracteristicsExtractor< TInputImage, TOutputImage >::GetIncidenceOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInertiaOutput(), otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >::GetInfDeci(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetInfDeciFullResolution(), otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >::GetInfFilter(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetInfFilterFullResolution(), otb::PersistentInnerProductVectorImageFilter< TInputImage >::GetInnerProductOutput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMomentOutput(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::GetIterationOutput(), otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >::GetLabeledClusteredOutput(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabel >::GetLabelListSample(), otb::LabelImageRegionPruningFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetLabelOutput(), otb::LabelImageRegionMergingFilter< TInputLabelImage, TInputSpectralImage, TOutputLabelImage, TOutputClusteredImage >::GetLabelOutput(), otb::MeanShiftSegmentationFilter< TInputImage, TOutputLabelImage, TOutputClusteredImage, TKernel >::GetLabelOutput(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::GetLabelOutput(), otb::StereorectificationDisplacementFieldSource< TInputImage, TOutputImage >::GetLeftDisplacementFieldOutput(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetLengthOutput(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabel >::GetListSample(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunEmphasisOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunHighGreyLevelEmphasisOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunLowGreyLevelEmphasisOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLowGreyLevelRunEmphasisOutput(), otb::PersistentCompareImageFilter< TInputImage >::GetMAEOutput(), otb::PersistentVectorImageToMatrixFilter< TInputImage >::GetMatrixOutput(), itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::GetMaxEigenValue(), itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::GetMaxEigenVector(), otb::PersistentMinMaxImageFilter< TInputImage >::GetMaximumIndexOutput(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::GetMaximumOutput(), itk::MinimumMaximumImageFilter< TInputImage >::GetMaximumOutput(), itk::StatisticsImageFilter< TInputImage >::GetMaximumOutput(), otb::PersistentMinMaxImageFilter< TInputImage >::GetMaximumOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetMaximumOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetMaximumOutput(), otb::PersistentMinMaxVectorImageFilter< TInputImage >::GetMaximumOutput(), itk::StatisticsImageFilter< TInputImage >::GetMeanOutput(), itk::Statistics::CovarianceSampleFilter< TSample >::GetMeanOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetMeanOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetMeanOutput(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::GetMeanPerComponentOutput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetMetricOutput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetMetricOutput(), itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >::GetMinEigenValue(), otb::PersistentMinMaxImageFilter< TInputImage >::GetMinimumIndexOutput(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::GetMinimumOutput(), itk::MinimumMaximumImageFilter< TInputImage >::GetMinimumOutput(), itk::StatisticsImageFilter< TInputImage >::GetMinimumOutput(), otb::PersistentMinMaxImageFilter< TInputImage >::GetMinimumOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetMinimumOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetMinimumOutput(), otb::PersistentMinMaxVectorImageFilter< TInputImage >::GetMinimumOutput(), otb::SVMModelEstimator< InputPixelType, LabelPixelType >::GetModel(), otb::PersistentCompareImageFilter< TInputImage >::GetMSEOutput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::GetOutput(), itk::MeshSource< TOutputMesh >::GetOutput(), otb::ImageToModulusAndDirectionImageFilter< TInputImage, TOutputImage, TOutputImageDirection >::GetOutput(), itk::Statistics::ImageToHistogramFilter< TImage >::GetOutput(), itk::Statistics::SampleToSubsampleFilter< TSample >::GetOutput(), otb::JointMassOfBeliefFilter< TMassFunction >::GetOutput(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::GetOutput(), itk::Statistics::MeanSampleFilter< TSample >::GetOutput(), itk::HistogramThresholdCalculator< THistogram, TOutput >::GetOutput(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::GetOutput(), itk::VideoSource< TOutputVideoStream >::GetOutput(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::GetOutput(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::GetOutput(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::GetOutput(), otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >::GetOutput(), otb::PathListToHistogramGenerator< TPath, TFunction >::GetOutput(), itk::Statistics::SampleClassifierFilter< TSample >::GetOutput(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::GetOutput(), itk::PathSource< TOutputPath >::GetOutput(), otb::GeodesicMorphologyIterativeDecompositionImageFilter< TImage, TStructuringElement >::GetOutput(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetOutput(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::GetOutput(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetOutput(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOutput(), itk::ImageSource< TOutputImage >::GetOutput(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::GetOutput(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::GetOutput(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::GetOutput(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOutput(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::GetOutput(), otb::ProfileDerivativeToMultiScaleCharacteristicsFilter< TInputImage, TOutputImage, TLabeledImage >::GetOutputCharacteristics(), otb::ImageToModulusAndDirectionImageFilter< TInputImage, TOutputImage, TOutputImageDirection >::GetOutputDirection(), otb::DisparityMapMedianFilter< TInputImage, TOutputImage, TMask >::GetOutputDisparityMap(), otb::DisparityMapMedianFilter< TInputImage, TOutputImage, TMask >::GetOutputDisparityMask(), otb::FineRegistrationImageFilter< TInputImage, T0utputCorrelation, TOutputDisplacementField >::GetOutputDisplacementField(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::GetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::GetOutputImage(), itk::watershed::Segmenter< InputImageType >::GetOutputImage(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::GetOutputLabel(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetOutputMask(), otb::DisparityMapMedianFilter< TInputImage, TOutputImage, TMask >::GetOutputMask(), otb::AdhesionCorrectionFilter< TImage, TMask >::GetOutputRiskEdges(), otb::LabelMapToSampleListFilter< TInputLabelMap, TOutputSampleList, TMeasurementFunctor >::GetOutputSampleList(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetOutputSegmentTree(), otb::LabelMapWithClassLabelToLabeledSampleListFilter< TInputLabelMap, TOutputSampleList, TOutputTrainingSampleList, TMeasurementFunctor >::GetOutputTrainingSampleList(), otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >::GetOutputVectorData(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::GetOutputVelocityImage(), itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetPosteriorImage(), itk::BinaryPruningImageFilter< TInputImage, TOutputImage >::GetPruning(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetPSIOutput(), otb::PersistentCompareImageFilter< TInputImage >::GetPSNROutput(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::GetRangeOutput(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetRatioOutput(), otb::ProspectModel::GetReflectance(), otb::MultiDisparityMapTo3DFilter< TDisparityImage, TOutputImage, TMaskImage, TResidueImage >::GetResidueOutput(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::GetResultOutput(), otb::StereorectificationDisplacementFieldSource< TInputImage, TOutputImage >::GetRightDisplacementFieldOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformityOutput(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabel >::GetSamplesPositionsObject(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetSDOutput(), itk::watershed::Segmenter< InputImageType >::GetSegmentTable(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunEmphasisOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunHighGreyLevelEmphasisOutput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunLowGreyLevelEmphasisOutput(), itk::StatisticsImageFilter< TInputImage >::GetSigmaOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetSigmaOutput(), itk::BlockMatchingImageFilter< TFixedImage, TMovingImage, TFeatures, TDisplacements, TSimilarities >::GetSimilarities(), otb::DEMCaracteristicsExtractor< TInputImage, TOutputImage >::GetSlopOutput(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::GetSpatialOutput(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::GetStandardDeviationPerComponentOutput(), itk::StatisticsImageFilter< TInputImage >::GetSumOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetSumOutput(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::GetSumOutput(), otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >::GetSupDeci(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetSupDeciFullResolution(), otb::MorphologicalPyramidAnalysisFilter< TInputImage, TOutputImage, TMorphoFilter >::GetSupFilter(), otb::MorphologicalPyramid::MRToMSConverter< TInputImage, TOutputImage >::GetSupFilterFullResolution(), itk::BinaryThinningImageFilter< TInputImage, TOutputImage >::GetThinning(), itk::HistogramThresholdCalculator< THistogram, TOutput >::GetThreshold(), otb::ListSampleGenerator< TImage, TVectorData >::GetTrainingListLabel(), otb::ListSampleGenerator< TImage, TVectorData >::GetTrainingListSample(), otb::ProspectModel::GetTransmittance(), otb::ListSampleGenerator< TImage, TVectorData >::GetValidationListLabel(), otb::ListSampleGenerator< TImage, TVectorData >::GetValidationListSample(), itk::StatisticsImageFilter< TInputImage >::GetVarianceOutput(), otb::PersistentStatisticsImageFilter< TInputImage >::GetVarianceOutput(), itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetVectorDistanceMap(), itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetVectorDistanceMap(), otb::DisparityTranslateFilter< TDisparityImage, TGridImage, TSensorImage, TMaskImage >::GetVerticalDisparityMapOutput(), otb::SubPixelDisparityImageFilter< TInputImage, TOutputMetricImage, TDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetVerticalDisparityOutput(), otb::PixelWiseBlockMatchingImageFilter< TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor >::GetVerticalDisparityOutput(), otb::SailModel::GetViewingReflectance(), itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetVoronoiMap(), itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >::GetVoronoiMap(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetWidthOutput(), otb::SFSTexturesImageFilter< TInputImage, TOutputImage >::GetWMeanOutput(), itk::GPUMeanImageFilter< TInputImage, TOutputImage >::GPUGenerateData(), itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction, TParentImageFilter >::GPUGenerateData(), itk::GPUNeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType, TParentImageFilter >::GPUGenerateData(), itk::VideoSource< TOutputVideoStream >::GraftNthOutput(), itk::GPUImageToImageFilter< TInputImage, TOutputImage, TParentImageFilter >::GraftOutput(), itk::MeshSource< TOutputMesh >::GraftOutput(), itk::ImageSource< TOutputImage >::GraftOutput(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::Initialize(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::Initialize(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::Initialize(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::Initialize(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::Initialize(), itk::InPlaceImageFilter< TInputImage, TOutputImage >::InternalAllocateOutputs(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeHistogram(), itk::TemporalProcessObject::SplitRequestedTemporalRegion(), itk::ComposeImageFilter< TInputImage, TOutputImage >::ThreadedGenerateData(), itk::ImageToVectorImageFilter< TInputImage >::ThreadedGenerateData(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::ThreadedGenerateData(), itk::TemporalProcessObject::UpdateOutputData(), and itk::TemporalProcessObject::UpdateOutputInformation().

const DataObject * itk::ProcessObject::GetOutput ( const DataObjectIdentifierType key) const
protectedinherited

Definition at line 598 of file itkProcessObject.cxx.

References NULL.

DataObject * itk::ProcessObject::GetOutput ( DataObjectPointerArraySizeType  idx)
protectedinherited

Method used internally for getting an indexed output.

Definition at line 613 of file itkProcessObject.cxx.

const DataObject * itk::ProcessObject::GetOutput ( DataObjectPointerArraySizeType  idx) const
protectedinherited

Definition at line 620 of file itkProcessObject.cxx.

ProcessObject::NameArray itk::ProcessObject::GetOutputNames ( ) const
inherited

Return a array with the names of the outputs of this process object. The names are ordered lexicographically, and match the order of the data object produced by GetOutputs()

Definition at line 665 of file itkProcessObject.cxx.

ProcessObject::DataObjectPointerArray itk::ProcessObject::GetOutputs ( )
inherited

Return a array with the named outputs of this process object. The order of the outputs match the order of the input names produced by GetOutputNames()

Definition at line 697 of file itkProcessObject.cxx.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

DataObject* itk::ProcessObject::GetPrimaryInput ( )
inlineprotectedinherited

Return the main input

Definition at line 486 of file itkProcessObject.h.

const DataObject* itk::ProcessObject::GetPrimaryInput ( ) const
inlineprotectedinherited

Definition at line 488 of file itkProcessObject.h.

virtual const char* itk::ProcessObject::GetPrimaryInputName ( void  ) const
inlineprotectedvirtualinherited

Definition at line 493 of file itkProcessObject.h.

DataObject* itk::ProcessObject::GetPrimaryOutput ( )
inlineprotectedinherited

Return the main output

Definition at line 546 of file itkProcessObject.h.

const DataObject* itk::ProcessObject::GetPrimaryOutput ( ) const
inlineprotectedinherited

Definition at line 548 of file itkProcessObject.h.

virtual const char* itk::ProcessObject::GetPrimaryOutputName ( void  ) const
inlineprotectedvirtualinherited

Definition at line 532 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress ( )
virtualinherited

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::StreamingImageVirtualWriter< TInputImage >::ObserveSourceFilterProgress(), otb::ImageFileWriter< TInputImage >::ObserveSourceFilterProgress(), and itk::XMLFilterWatcher::ShowProgress().

virtual int itk::LightObject::GetReferenceCount ( ) const
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 112 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( )
virtualinherited
bool itk::ProcessObject::GetReleaseDataFlag ( ) const
virtualinherited

Definition at line 1177 of file itkProcessObject.cxx.

ProcessObject::NameArray itk::ProcessObject::GetRequiredInputNames ( ) const
inherited

Return an array with the names of the required inputs

Definition at line 941 of file itkProcessObject.cxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
const double & itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetRMSChange ( ) const
virtual
virtual const double& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetRMSChange ( )
virtualinherited
virtual bool itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::GetRunningInPlace ( ) const
protectedvirtualinherited

This methods should only be called during the GenerateData phase of the pipeline. This method return true if the input image's bulk data is the same as the output image's data.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual bool itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetSmoothDisplacementField ( ) const
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual bool itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetSmoothUpdateField ( ) const
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual const StandardDeviationsType& itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetStandardDeviations ( )
virtualinherited

Get the Gaussian smoothing standard deviations use for smoothing the displacement field.

const TimeStamp & itk::Object::GetTimeStamp ( ) const
virtualinherited

Return this object's time stamp.

Return the modification for this object.

Reimplemented in itk::RealTimeClock.

Definition at line 293 of file itkObject.cxx.

Referenced by itk::RealTimeClock::GetTimeStamp().

virtual UpdateBufferType* itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetUpdateBuffer ( )
inlineprotectedvirtualinherited

Method to allow subclasses to get direct access to the update buffer

Definition at line 135 of file itkDenseFiniteDifferenceImageFilter.h.

References itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >::m_UpdateBuffer.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual const StandardDeviationsType& itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::GetUpdateFieldStandardDeviations ( )
virtualinherited

Get the Gaussian smoothing standard deviations used for smoothing the update field.

virtual const bool& itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::GetUseImageSpacing ( )
virtualinherited
static void itk::Object::GlobalWarningDisplayOff ( )
inlinestaticinherited

Definition at line 118 of file itkObject.h.

Referenced by itk::OutputWindow::DisplayText().

static void itk::Object::GlobalWarningDisplayOn ( )
inlinestaticinherited

Definition at line 116 of file itkObject.h.

virtual void itk::ImageSource< TDisplacementField >::GraftNthOutput ( unsigned int  idx,
DataObject output 
)
virtualinherited

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfIndexedOutputs()). See the GraftOutput for general usage information.

virtual void itk::ImageSource< TDisplacementField >::GraftOutput ( DataObject output)
virtualinherited

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

// setup the mini-pipeline to process the input to this filter
firstFilterInMiniPipeline->SetInput( this->GetInput() );
// setup the mini-pipeline to calculate the correct regions
// and write to the appropriate bulk data block
lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );
// execute the mini-pipeline
lastFilterInMiniPipeline->Update();
// graft the mini-pipeline output back onto this filter's output.
// this is needed to get the appropriate regions passed back.
this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

virtual void itk::ImageSource< TDisplacementField >::GraftOutput ( const DataObjectIdentifierType key,
DataObject output 
)
virtualinherited

Graft the specified data object onto this ProcessObject's named output. This is similar to the GraftOutput method except it allows you to specify which output is affected. See the GraftOutput for general usage information.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual bool itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::Halt ( )
inlineprotectedvirtualinherited
bool itk::ProcessObject::HasInput ( const DataObjectIdentifierType key) const
inherited

Return true if the input with this name exists

Definition at line 812 of file itkProcessObject.cxx.

bool itk::Object::HasObserver ( const EventObject event) const
inherited

Return true if an observer is registered for this event.

Definition at line 472 of file itkObject.cxx.

bool itk::ProcessObject::HasOutput ( const DataObjectIdentifierType key) const
inherited

Return true if the output with this name exists

Definition at line 657 of file itkProcessObject.cxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::Initialize ( void  )
protectedvirtualinherited

This method is called before iterating the solution.

Reimplemented from itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

Definition at line 378 of file itkPDEDeformableRegistrationFilter.hxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::InitializeIteration ( )
protectedvirtual
virtual void itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InPlaceOff ( )
virtualinherited
virtual void itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InPlaceOn ( )
virtualinherited
LightObject::Pointer itk::LightObject::InternalClone ( ) const
protectedvirtualinherited
void itk::Object::InvokeEvent ( const EventObject event)
inherited
void itk::Object::InvokeEvent ( const EventObject event) const
inherited

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

Definition at line 462 of file itkObject.cxx.

bool itk::ProcessObject::IsIndexedInputName ( const DataObjectIdentifierType name) const
protectedinherited

Definition at line 1122 of file itkProcessObject.cxx.

bool itk::ProcessObject::IsIndexedOutputName ( const DataObjectIdentifierType name) const
protectedinherited

Definition at line 1140 of file itkProcessObject.cxx.

bool itk::ProcessObject::IsRequiredInputName ( const DataObjectIdentifierType name) const
protectedinherited

Definition at line 922 of file itkProcessObject.cxx.

itk::LightObject::itkCloneMacro ( Self  )
inherited
itk::ProcessObject::itkLegacyMacro ( virtual void   RemoveOutputDataObject *output)
protectedinherited
Deprecated:
use RemoveOutput(unsigned int) instead
itk::ProcessObject::itkLegacyMacro ( void   SetNumberOfOutputsDataObjectPointerArraySizeType num)
protectedinherited
itk::ProcessObject::itkLegacyMacro ( virtual void   RemoveInputDataObject *input)
protectedinherited

Remove an indexed input.

Deprecated:
use RemoveInput(unsigned int) instead
itk::ProcessObject::itkLegacyMacro ( void   SetNumberOfInputsDataObjectPointerArraySizeType num)
protectedinherited
ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::MakeIndexFromInputName ( const DataObjectIdentifierType name) const
protectedinherited

Definition at line 1076 of file itkProcessObject.cxx.

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::MakeIndexFromOutputName ( const DataObjectIdentifierType name) const
protectedinherited

Definition at line 1088 of file itkProcessObject.cxx.

ProcessObject::DataObjectIdentifierType itk::ProcessObject::MakeNameFromInputIndex ( DataObjectPointerArraySizeType  idx) const
protectedinherited

Definition at line 1038 of file itkProcessObject.cxx.

ProcessObject::DataObjectIdentifierType itk::ProcessObject::MakeNameFromOutputIndex ( DataObjectPointerArraySizeType  idx) const
protectedinherited

Definition at line 1049 of file itkProcessObject.cxx.

virtual ProcessObject::DataObjectPointer itk::ImageSource< TDisplacementField >::MakeOutput ( ProcessObject::DataObjectPointerArraySizeType  idx)
virtualinherited

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

DataObject::Pointer itk::ProcessObject::MakeOutput ( const DataObjectIdentifierType name)
virtualinherited

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

This is a default implementation to make sure we have something. Once all the subclasses of ProcessObject provide an appopriate MakeOutput(), then ProcessObject::MakeOutput() can be made pure virtual.

Definition at line 95 of file itkProcessObject.cxx.

References itk::SmartPointer< TObjectType >::GetPointer(), and itk::Object::New().

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ManualReinitializationOff ( )
virtualinherited
virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ManualReinitializationOn ( )
virtualinherited
void itk::Object::Modified ( void  ) const
virtualinherited

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Make sure this object's modified time is greater than all others.

Reimplemented in otb::SVMModel< TValue, TLabel >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexConjugatePixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, itk::GPUImage< TPixel, VImageDimension >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, otb::PolyLineParametricPathWithValue< TValue, 2 >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 312 of file itkObject.cxx.

Referenced by itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::AddAttribute(), itk::Function::ConvergenceMonitoringFunction< TScalar, TScalar >::AddEnergyValue(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputFilenameListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputFilenameListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::AddSeed(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::AddSpecifiedRegion(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), itk::PolyLineParametricPath< VDimension >::AddVertex(), itk::ChainCodePath< 2 >::ChangeStep(), itk::ChainCodePath2D::ChangeStep(), itk::FourierSeriesPath< VDimension >::Clear(), itk::HilbertPath< TIndexValue, VDimension >::Clear(), itk::ChainCodePath< 2 >::Clear(), itk::ChainCodePath2D::Clear(), itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::ClearAttributeSet(), itk::Function::ConvergenceMonitoringFunction< TScalar, TScalar >::ClearEnergyValues(), itk::MultiTransform< TScalar, NDimensions >::ClearTransformQueue(), otb::Wrapper::InputFilenameListParameter::ClearValue(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::Wrapper::InputFilenameListParameter::Erase(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::InitializeSeedList(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::InitializeSpecifiedRegionList(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::InsertNarrowBandNode(), itk::ChainCodePath2D::InsertStep(), itk::ChainCodePath< 2 >::InsertStep(), otb::ogr::ImageReference< double >::Modified(), itk::MultiTransform< TScalar, NDimensions >::PopBackTransform(), itk::MultiTransform< TScalar, NDimensions >::PopFrontTransform(), itk::MultiTransform< TScalar, NDimensions >::PushBackTransform(), itk::MultiTransform< TScalar, NDimensions >::PushFrontTransform(), itk::Statistics::SubsamplerBase< TSample >::RequestMaximumNumberOfResults(), itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor >::SetAccessor(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetAlivePoints(), itk::CompositeTransform< TScalar, NDimensions >::SetAllTransformsToOptimize(), itk::GaussianInterpolateImageFunction< TInputImage, TCoordRep >::SetAlpha(), itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetAlpha(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetAlpha(), itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >::SetAttributeSet(), itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >::SetAuxImage(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetBeta(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetBinaryMask(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetCenter(), itk::ConnectedRegionsMeshFilter< TInputMesh, TOutputMesh >::SetClosestPoint(), itk::ConstantPadImageFilter< TInputImage, TOutputImage >::SetConstant(), itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetConstant(), itk::LBFGSBOptimizer::SetCostFunction(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCovariance(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling(), itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetDerivativeSigma(), otb::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDimensions(), otb::ImageIOBase::SetDirection(), itk::ImageIOBase::SetDirection(), itk::ExtractImageFilter< TInputImage, TOutputImage >::SetDirectionCollapseToStrategy(), itk::ComposeDisplacementFieldsImageFilter< TInputImage, TOutputImage >::SetDisplacementField(), itk::InvertDisplacementFieldImageFilter< TInputImage, TOutputImage >::SetDisplacementField(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight(), itk::watershed::Boundary< TScalar, TDimension >::SetFace(), itk::ExpNegativeImageFilter< TInputImage, TOutputImage >::SetFactor(), itk::FileListVideoIO::SetFileName(), itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >::SetFixedAverageGradientMagnitude(), itk::watershed::Boundary< TScalar, TDimension >::SetFlatHash(), itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >::SetFunctor(), itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ReciprocalHAlphaFunctor< TInputImage::PixelType, TOutputImage::PixelType > >::SetFunctor(), itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > >::SetFunctor(), itk::TernaryFunctorImageFilter< TInputMultiSpectralImage, TInputMultiSpectralInterpImage, TInputPanchroImage, TOutputImage, TFunctor >::SetFunctor(), itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >::SetFunctor(), itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::DivideOrZeroOut< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >::SetFunctor(), itk::ImageMomentsCalculator< TImage >::SetImage(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >::SetIndex(), itk::MatrixIndexSelectionImageFilter< TInputImage, TOutputImage >::SetIndices(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::SetInfoImage(), itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >::SetInitialBiasFieldCoefficients(), itk::AmoebaOptimizer::SetInitialSimplexDelta(), itk::HistogramAlgorithmBase< THistogram >::SetInputHistogram(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), itk::LabelVotingImageFilter< TInputImage, TOutputImage >::SetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetLabelForUndecidedPixels(), itk::watershed::Segmenter< InputImageType >::SetLargestPossibleRegion(), itk::TemporalDataObject::SetLargestPossibleTemporalRegion(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputFilenameListParameter::SetListFromFileName(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskingValue(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskingValue(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetMatrix(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep(), itk::watershed::SegmentTable< TScalar >::SetMaximumDepth(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError(), itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >::SetMaximumError(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetMaximumNumberOfIterations(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMean(), itk::Statistics::MembershipFunctionBase< TMeasurementVector >::SetMeasurementVectorSize(), itk::Statistics::DistanceMetric< Array< double > >::SetMeasurementVectorSize(), itk::Statistics::Sample< ImageJointDomainTraits< TImage >::MeasurementVectorType >::SetMeasurementVectorSize(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetNarrowBandTotalRadius(), itk::OpenCVVideoIO::SetNextFrameToRead(), itk::VXLVideoIO::SetNextFrameToRead(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), otb::Wrapper::InputFilenameListParameter::SetNthFileName(), itk::CompositeTransform< TScalar, NDimensions >::SetNthTransformToOptimize(), otb::ImageIOBase::SetNumberOfDimensions(), itk::ImageIOBase::SetNumberOfDimensions(), itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >::SetNumberOfLayers(), itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >::SetNumberOfResultsRequested(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetNumberOfTargetsToBeReached(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetOffset(), itk::NeighborhoodOperatorImageFunction< TInputImage, TOutput >::SetOperator(), itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >::SetOperator(), itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >::SetOperator(), otb::ImageIOBase::SetOrigin(), itk::ImageIOBase::SetOrigin(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetOutputMaximum(), itk::SigmoidImageFilter< TInputImage, TOutputImage >::SetOutputMinimum(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetOutsidePoints(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::SetOutsideValue(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::SetOutsideValue(), otb::MapProjectionAdapter::SetParameter(), itk::Statistics::ProbabilityDistribution::SetParameters(), itk::DisplacementFieldTransform< TScalar, NDimensions >::SetParameters(), itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetPriorProbabilities(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage(), itk::ImportImageFilter< TPixel, VImageDimension >::SetRegion(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::SetRegionOfInterest(), itk::ScaleTransform< TScalar, NDimensions >::SetScale(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction(), itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetShapePriorScaling(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetShrinkFactorsPerDimension(), itk::GaussianInterpolateImageFunction< TInputImage, TCoordRep >::SetSigma(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep(), itk::PowellOptimizer::SetSpaceDimension(), otb::ImageIOBase::SetSpacing(), itk::ImageIOBase::SetSpacing(), itk::SpatialObject< TMesh::PointDimension >::SetSpacing(), itk::ImageMomentsCalculator< TImage >::SetSpatialObjectMask(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetSpeedConstant(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetTargetCondition(), itk::FastMarchingReachedTargetNodesStoppingCriterion< TInput, TOutput >::SetTargetNodes(), itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >::SetTargetPoints(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::SetTerminationUpdateThreshold(), itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetThreshold(), itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetThreshold(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::MatrixOffsetTransformBase< TScalar, 3, 3 >::SetTranslation(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::SetTrialPoints(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold(), itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold(), itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >::SetUseClockForSeed(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature(), itk::watershed::Boundary< TScalar, TDimension >::SetValid(), otb::Wrapper::OutputProcessXMLParameter::SetValue(), otb::Wrapper::InputProcessXMLParameter::SetValue(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance(), itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >::SetVariance(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), otb::MapProjectionAdapter::SetWkt(), itk::LabelVotingImageFilter< TInputImage, TOutputImage >::UnsetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetLabelForUndecidedPixels(), itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetMaximumNumberOfIterations(), and itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >::UnsetPriorProbabilities().

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
static Pointer itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::New ( )
static

Method for creation through the object factory.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::operator= ( const Self )
private
virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PopBackInput ( )
virtualinherited

Model a stack on the input list by providing a pop back

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PopFrontInput ( )
virtualinherited

Reimplemented from itk::ProcessObject.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::PostProcessOutput ( )
protectedvirtualinherited

This method is called after the solution has been generated. In this case, the filter release the memory of the internal buffers.

Reimplemented from itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >.

Definition at line 366 of file itkPDEDeformableRegistrationFilter.hxx.

void itk::ProcessObject::PrepareOutputs ( )
virtualinherited

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >, and otb::GeometriesSource.

Definition at line 1630 of file itkProcessObject.cxx.

Referenced by itk::TemporalProcessObject::UpdateOutputData().

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const
inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 137 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<(), and itk::VideoStream< TFrameType >::PrintSelf().

void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print header for all objects.

Definition at line 315 of file itkLightObject.cxx.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const
protectedinherited

Definition at line 483 of file itkObject.cxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Chaining method to print an object's instance variables, as well as its superclasses.

Reimplemented from itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

Definition at line 187 of file itkSymmetricForcesDemonsRegistrationFilter.hxx.

void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 325 of file itkLightObject.cxx.

void itk::ProcessObject::PropagateRequestedRegion ( DataObject output)
virtualinherited

Send the requested region information back up the pipeline (to the filters that precede this one).

check flag to avoid executing forever if there is a loop

Give the subclass a chance to indicate that it will provide more data then required for the output. This can happen, for example, when a source can only produce the whole output. Although this is being called for a specific output, the source may need to enlarge all outputs.

Give the subclass a chance to define how to set the requested regions for each of its outputs, given this output's requested region. The default implementation is to make all the output requested regions the same. A subclass may need to override this method if each output is a different resolution.

Give the subclass a chance to request a larger requested region on the inputs. This is necessary when, for example, a filter requires more data at the "internal" boundaries to produce the boundary values - such as an image filter that derives a new pixel value by applying some operation to a neighborhood of surrounding original values.

Now that we know the input requested region, propagate this through all the inputs.

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 1538 of file itkProcessObject.cxx.

void itk::ProcessObject::PropagateResetPipeline ( )
protectedvirtualinherited

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

Definition at line 1335 of file itkProcessObject.cxx.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PushBackInput ( const InputImageType image)
virtualinherited

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PushBackInput ( const DataObject input)
inlineprotectedvirtualinherited

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 328 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PushFrontInput ( const InputImageType image)
virtualinherited
void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::PushFrontInput ( const DataObject input)
inlineprotectedvirtualinherited

Reimplemented from itk::ProcessObject.

Definition at line 330 of file itkImageToImageFilter.h.

void itk::Object::Register ( ) const
virtualinherited

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

Definition at line 323 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory(), and itk::ObjectFactoryBase::RegisterFactoryInternal().

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( )
virtualinherited
virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( )
virtualinherited
void itk::ProcessObject::ReleaseDataFlagOff ( )
inlineinherited

Definition at line 362 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( )
inlineinherited

Definition at line 361 of file itkProcessObject.h.

virtual void itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::ReleaseInputs ( )
protectedvirtualinherited

InPlaceImageFilter may transfer ownership of the input bulk data to the output object. Once the output object owns the bulk data (done in AllocateOutputs()), the input object must release its hold on the bulk data. ProcessObject::ReleaseInputs() only releases the input bulk data when the user has set the ReleaseDataFlag. InPlaceImageFilter::ReleaseInputs() also releases the input that it has overwritten.

See Also
ProcessObject::ReleaseInputs()

Reimplemented from itk::ProcessObject.

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 442 of file itkObject.cxx.

void itk::ProcessObject::RemoveInput ( const DataObjectIdentifierType key)
protectedvirtualinherited

Remove an input.

If the input is the last indexed input the number of indexed inputs will be reduced by one. Otherwise, if the input is required or an index it will be set to NULL.

Definition at line 221 of file itkProcessObject.cxx.

References NULL.

void itk::ProcessObject::RemoveInput ( DataObjectPointerArraySizeType  idx)
protectedvirtualinherited

Remove an input.

Definition at line 262 of file itkProcessObject.cxx.

void itk::Object::RemoveObserver ( unsigned long  tag)
inherited

Remove the observer with this tag value.

Definition at line 432 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

void itk::ProcessObject::RemoveOutput ( const DataObjectIdentifierType key)
protectedvirtualinherited

Remove an output

Remove an output.

Definition at line 383 of file itkProcessObject.cxx.

References NULL.

void itk::ProcessObject::RemoveOutput ( DataObjectPointerArraySizeType  idx)
protectedvirtualinherited

Definition at line 422 of file itkProcessObject.cxx.

bool itk::ProcessObject::RemoveRequiredInputName ( const DataObjectIdentifierType name)
protectedinherited

Definition at line 906 of file itkProcessObject.cxx.

void itk::ProcessObject::ResetPipeline ( )
virtualinherited

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

Definition at line 1320 of file itkProcessObject.cxx.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::TemporalProcessObject::UpdateOutputData().

virtual TimeStepType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ResolveTimeStep ( const std::vector< TimeStepType > &  timeStepList,
const std::vector< bool > &  valid 
) const
protectedvirtualinherited

Virtual method for resolving a single time step from a set of time steps returned from processing threads.

Returns
Time step (dt) for the iteration update based on a list of time steps generated from the threaded calculated change method (one for each region processed).
Parameters
timeStepListThe set of time changes compiled from all the threaded calls to ThreadedGenerateData.
validThe set of flags indicating which of "list" elements are valid

The default is to return the minimum value in the list.

void itk::ProcessObject::RestoreInputReleaseDataFlags ( )
protectedvirtualinherited

Restore the cached input ReleaseDataFlags.

Definition at line 1816 of file itkProcessObject.cxx.

Referenced by itk::TemporalProcessObject::UpdateOutputData().

virtual void itk::ProcessObject::SetAbortGenerateData ( bool  _arg)
virtualinherited

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Referenced by itk::TemporalProcessObject::UpdateOutputData().

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::SetCoordinateTolerance ( double  _arg)
virtualinherited

get/set the Coordinate tolerance This tolerance is used when comparing the space defined by the input images. With ITK 4.x a requirement has been added that both input images be congruent in space.

void itk::Object::SetDebug ( bool  debugFlag) const
inherited

Set the value of the debug flag. A non-zero value turns debugging on.

Definition at line 273 of file itkObject.cxx.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetDifferenceFunction ( FiniteDifferenceFunctionType _arg)
virtualinherited

This method sets the pointer to a FiniteDifferenceFunction object that will be used by the filter to calculate updates at image pixels.

Returns
A FiniteDifferenceObject pointer.
virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::SetDirectionTolerance ( double  _arg)
virtualinherited

get/set the direction tolerance This tolerance is used to make sure that all input images are oriented the same before performing the filter's transformations.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetElapsedIterations ( IdentifierType  _arg)
protectedvirtualinherited

Set the number of elapsed iterations of the filter.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetFixedImage ( const FixedImageType ptr)
inherited

Set the fixed image.

Definition at line 69 of file itkPDEDeformableRegistrationFilter.hxx.

References itk::ProcessObject::SetNthInput().

void itk::Object::SetGlobalWarningDisplay ( bool  val)
staticinherited

This is a global flag that controls whether any debug, warning or error messages are displayed.

Set the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetInitialDisplacementField ( const DisplacementFieldType ptr)
inlineinherited
virtual void itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::SetInPlace ( bool  _arg)
virtualinherited

In place operation can be turned on and off. Asking for in-place operation, i.e. calling SetInplace(true) or InplaceOn(), will be effective only if CanRunInPlace also returns true. By default CanRunInPlace checks whether the input and output image type match.

virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::SetInput ( const InputImageType image)
virtualinherited
virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::SetInput ( unsigned  int,
const TDisplacementField *  image 
)
virtualinherited

Connect one of the operands for pixel-wise addition

void itk::ProcessObject::SetInput ( const DataObjectIdentifierType key,
DataObject input 
)
protectedvirtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetIntensityDifferenceThreshold ( double  threshold)
virtual

Set/Get the threshold below which the absolute difference of intensity yields a match. When the intensities match between a moving and fixed image pixel, the update vector (for that iteration) will be the zero vector. Default is 0.001.

Definition at line 118 of file itkSymmetricForcesDemonsRegistrationFilter.hxx.

References itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDisplacementField >::SetIntensityDifferenceThreshold().

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetIsInitialized ( bool  _arg)
virtualinherited
virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetManualReinitialization ( bool  _arg)
virtualinherited

Require the filter to be manually reinitialized (by calling SetStateToUninitialized()

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetMaximumError ( double  _arg)
virtualinherited

Set/Get the desired maximum error of the Guassian kernel approximate.

See Also
GaussianOperator.
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetMaximumKernelWidth ( unsigned int  _arg)
virtualinherited

Set/Get the desired limits of the Gaussian kernel width.

See Also
GaussianOperator.
virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetMaximumRMSError ( double  _arg)
virtualinherited

Set/Get the maximum error allowed in the solution. This may not be defined for all solvers and its meaning may change with the application.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs)
inherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetMovingImage ( const MovingImageType ptr)
inherited

Set the moving image.

Definition at line 94 of file itkPDEDeformableRegistrationFilter.hxx.

References itk::ProcessObject::SetNthInput().

void itk::ProcessObject::SetNthInput ( DataObjectPointerArraySizeType  idx,
DataObject input 
)
protectedvirtualinherited

Protected methods for setting indexed inputs. Subclasses make use of them for setting input.

Set an Input of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.

Definition at line 308 of file itkProcessObject.cxx.

Referenced by itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::AddGradientImage(), otb::VectorDataToSpecificDescriptionFilterBase< TVectorData >::AddSupport(), otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >::AddVectorData(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::BinaryThresholdImageFilter(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::ConnectedThresholdImageFilter(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetLowerInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetLowerThresholdInput(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::GetUpperInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::GetUpperThresholdInput(), itk::InteriorExteriorMeshFilter< TInputMesh, TOutputMesh, TSpatialFunction >::InteriorExteriorMeshFilter(), itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >::SetBackgroundImage(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::Statistics::SampleClassifierFilter< TSample >::SetClassLabels(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetClassLabels(), itk::DisplacementFieldToBSplineImageFilter< TInputImage, TOutputImage >::SetConfidenceImage(), itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >::SetConfidenceImage(), itk::WarpMeshFilter< TInputMesh, TOutputMesh, TDisplacementField >::SetDisplacementField(), otb::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >::SetDisplacementField(), itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >::SetDisplacementField(), itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >::SetDisplacementField(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::SetEquivalencyTable(), itk::StatisticsLabelMapFilter< TImage, TFeatureImage >::SetFeatureImage(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::SetFeatureImage(), itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::SetFeatureImage(), itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >::SetFeatureImage(), itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFeatureImage(), itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >::SetFeatureImage(), itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::SetFeatureImage(), itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFeatureImage(), itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::SetFeatureImage(), itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::SetFeatureImage(), itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::SetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >::SetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetFixedImage(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetFixedImage(), itk::GPUPDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TParentImageFilter >::SetFixedImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >::SetFixedImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetFixedImage(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::SetFixedImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::SetFixedImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::SetFixedImageMask(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetGradientImage(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetImage(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetImageInput(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetImageInput(), itk::PathToPathFilter< TInputPath, TOutputPath >::SetInput(), otb::ProspectModel::SetInput(), otb::GISTableToGISTableFilter< TInputGISTable, TOutputGISTable >::SetInput(), otb::ImageToImageListFilter< TInputImage, TOutputImage >::SetInput(), otb::AtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms::SetInput(), otb::ImageListToRCC8GraphFilter< TInputImage, TOutputGraph >::SetInput(), otb::LineSpatialObjectListToPointSetFilter< TLinesList, TPointSet >::SetInput(), otb::ImageListToImageListFilter< TInputImage, TOutputImage >::SetInput(), otb::ImageListToImageFilter< TInputImage, TOutputImage >::SetInput(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::SetInput(), itk::PathToImageFilter< TInputPath, TOutputImage >::SetInput(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::SetInput(), otb::ObjectListToObjectListFilter< TInputList, TOutputList >::SetInput(), itk::HistogramThresholdCalculator< THistogram, TOutput >::SetInput(), itk::MeshToMeshFilter< TInputMesh, TOutputMesh >::SetInput(), itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >::SetInput(), itk::Statistics::MeanSampleFilter< TSample >::SetInput(), itk::Statistics::SampleToSubsampleFilter< TSample >::SetInput(), otb::ImageToEnvelopeVectorDataFilter< TInputImage, TOutputVectorData >::SetInput(), otb::ImageToLineSpatialObjectListFilter< TInputImage >::SetInput(), otb::ImageToOSMVectorDataGenerator< TImage >::SetInput(), otb::Statistics::ListSampleToListSampleFilter< TInputSampleList, TOutputSampleList >::SetInput(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::SetInput(), itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInput(), otb::SpatialObjectToImageDrawingFilter< TInputSpatialObject, TOutputImage >::SetInput(), otb::GeometriesToGeometriesFilter::SetInput(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::SetInput(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInput(), otb::GISTableToVectorDataFilter< TGISTable, TVectorData >::SetInput(), otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >::SetInput(), itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >::SetInput(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::SetInput(), otb::VectorDataToVectorDataFilter< TInputVectorData, TOutputVectorData >::SetInput(), itk::Statistics::CovarianceSampleFilter< TSample >::SetInput(), otb::SparseWvltToAngleMapperListFilter< TInputImageList, TOutputSampleList, VNbInputImages >::SetInput(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::SetInput(), itk::VideoToVideoFilter< TInputVideoStream, TOutputVideoStream >::SetInput(), itk::ImageTransformer< TInputImage >::SetInput(), itk::VideoFileWriter< TInputVideoStream >::SetInput(), otb::LabelMapToVectorDataFilter< TLabelMap, TVectorData, TFieldsFunctor >::SetInput(), itk::HistogramToImageFilter< THistogram, TImage, TFunction >::SetInput(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::SetInput(), otb::RCC8GraphFileWriter< TInputGraph >::SetInput(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::SetInput(), otb::GISTableToLabelMapFilter< TGISTable, TLabelMap >::SetInput(), otb::PathListToHistogramGenerator< TPath, TFunction >::SetInput(), itk::Statistics::SampleClassifierFilter< TSample >::SetInput(), otb::VectorDataToImageFilter< TVectorData, TImage >::SetInput(), otb::VectorDataToGISTableFilter< TVectorData, TGISTable >::SetInput(), itk::ImageFileWriter< TInputImage >::SetInput(), otb::LabelMapToGISTableFilter< TLabelMap, TGISTable >::SetInput(), otb::PolygonListToRCC8GraphFilter< TPolygonList, TOutputGraph >::SetInput(), otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >::SetInput(), itk::ImageSeriesWriter< TInputImage, TOutputImage >::SetInput(), otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >::SetInput(), otb::VectorDataToMapFilter< TVectorData, TImage >::SetInput(), itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >::SetInput(), itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::SetInput(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInput(), otb::VectorDataToLabelMapFilter< TVectorData, TLabelMap >::SetInput(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInput(), otb::VectorDataToLabelMapWithAttributesFilter< TVectorData, TLabelMap >::SetInput(), itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >::SetInput(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::SetInput1(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::SetInput1(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput1(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >::SetInput2(), itk::InterpolateImageFilter< TInputImage, TOutputImage >::SetInput2(), itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >::SetInput2(), otb::KeyPointSetsMatchingFilter< TPointSet, TDistance >::SetInput2(), otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >::SetInputDirection(), otb::VectorizationPathListFilter< TInputModulus, TInputDirection, TOutputPath >::SetInputDirection(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), otb::LikelihoodPathListFilter< TPath, TImage >::SetInputImage(), otb::ImageFittingPolygonListFilter< TPath, TImage >::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::SetInputImage(), otb::LineSpatialObjectListToRightAnglePointSetFilter< TImage, TLinesList, TPointSet >::SetInputImage(), itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::SetInputImage(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetInputImage(), itk::watershed::Segmenter< InputImageType >::SetInputImage(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::SetInputLabel(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::SetInputLabelImage(), otb::LabelMapToSampleListFilter< TInputLabelMap, TOutputSampleList, TMeasurementFunctor >::SetInputLabelMap(), otb::ImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::SetInputMask(), otb::SOMImageClassificationFilter< TInputImage, TOutputImage, TSOMMap, TMaskImage >::SetInputMask(), otb::SVMImageClassificationFilter< TInputImage, TOutputImage, TMaskImage >::SetInputMask(), otb::KMeansImageClassificationFilter< TInputImage, TOutputImage, VMaxSampleDimension, TMaskImage >::SetInputMask(), otb::DSFusionOfClassifiersImageFilter< TInputImage, TOutputImage, TMaskImage >::SetInputMask(), otb::PrintableImageFilter< TInputImage, TMaskImage >::SetInputMask(), otb::PersistentImageToOGRLayerSegmentationFilter< TImageType, TSegmentationFilter >::SetInputMask(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetInputPointSet(), otb::SVMSampleListModelEstimator< TInputSampleList, TTrainingSampleList, TMeasurementFunctor >::SetInputSampleList(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::SetInputSegmentTree(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::SetInputVelocityImage(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::SetLabeledImage(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::SetLabelInput(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::SetListSample(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::SetListSample(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetLower(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetLowerInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetLowerThreshold(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetLowerThresholdInput(), otb::SOMClassifier< TSample, TSOMMap, TLabel >::SetMap(), itk::BinaryReconstructionLabelMapFilter< TImage, TMarkerImage, TAttributeAccessor >::SetMarkerImage(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::SetMaskImage(), itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >::SetMaskImage(), itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >::SetMaskImage(), itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >::SetMaskImage(), itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskImage(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskImage(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >::SetMaskImage(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetMaskSpatialObject(), itk::Statistics::SampleClassifierFilter< TSample >::SetMembershipFunctions(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetMembershipFunctions(), itk::Statistics::SampleClassifierFilter< TSample >::SetMembershipFunctionsWeightsArray(), itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >::SetMembershipFunctionsWeightsArray(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::SetMovingImage(), itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetMovingImage(), itk::GPUPDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TParentImageFilter >::SetMovingImage(), itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >::SetMovingImage(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetMovingImage(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::SetMovingImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::SetMovingImage(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::SetMovingImageMask(), itk::ImageToVectorImageFilter< TInputImage >::SetNthInput(), otb::PersistentImageToOGRDataFilter< TImage >::SetOGRDataSource(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetPanInput(), otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetPanInput(), itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >::SetPathInput(), itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >::SetPathInput(), otb::PointSetToDisplacementFieldGenerator< TPointSet, TDisplacementField >::SetPointSet(), otb::DisparityMapEstimationMethod< TFixedImage, TMovingImage, TPointSet >::SetPointSet(), itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetPriors(), itk::RegionFromReferenceLabelMapFilter< TInputImage >::SetReferenceImage(), itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage(), itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >::SetReferenceImage(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetReferenceImage(), otb::SailModel::SetReflectance(), otb::ROIdataConversion< TInputImage, TInputROIImage >::SetROIImage(), itk::LabelOverlapMeasuresImageFilter< TLabelImage >::SetSourceImage(), itk::LabelOverlapMeasuresImageFilter< TLabelImage >::SetTargetImage(), otb::KullbackLeiblerSupervizedDistanceImageFilter< TInputImage1, TInputImage2, TInputROIImage, TOutputImage >::SetTrainingArea(), otb::SVMImageModelEstimator< TInputImage, TTrainingImage >::SetTrainingImage(), otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetTrainingInput(), otb::SVMPointSetModelEstimator< TInputPointSet, TTrainingPointSet >::SetTrainingPointSet(), otb::SVMSampleListModelEstimator< TInputSampleList, TTrainingSampleList, TMeasurementFunctor >::SetTrainingSampleList(), otb::SailModel::SetTransmittance(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpper(), itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SetUpperInput(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetUpperThreshold(), itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >::SetUpperThresholdInput(), otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetXsInput(), otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::SetXsInput(), itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter(), and itk::Statistics::WeightedMeanSampleFilter< TSample >::WeightedMeanSampleFilter().

void itk::ProcessObject::SetNthOutput ( DataObjectPointerArraySizeType  num,
DataObject output 
)
protectedvirtualinherited

Protected methods for setting outputs. Subclasses make use of them for getting output.

Definition at line 503 of file itkProcessObject.cxx.

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::Statistics::CovarianceSampleFilter< TSample >::CovarianceSampleFilter(), itk::SimplexMeshToTriangleMeshFilter< TInputMesh, TOutputMesh >::CreateTriangles(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::EquivalenceRelabeler(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), itk::FastMarchingExtensionImageFilterBase< TInput, TOutput, TAuxValue, VAuxDimension >::FastMarchingExtensionImageFilterBase(), otb::FillGapsFilter::FillGapsFilter(), itk::TimeVaryingVelocityFieldImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GenerateData(), itk::SyNImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >::GenerateData(), itk::TimeVaryingBSplineVelocityFieldImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >::GenerateData(), itk::HistogramThresholdCalculator< THistogram, TOutput >::HistogramThresholdCalculator(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramToRunLengthFeaturesFilter(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramToTextureFeaturesFilter(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod(), itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform, TVirtualImage >::ImageRegistrationMethodv4(), itk::ImageSource< TOutputImage >::ImageSource(), itk::Statistics::ImageToHistogramFilter< TImage >::ImageToHistogramFilter(), itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >::ImageToListSampleFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::ImageToSpatialObjectRegistrationMethod(), otb::LabelMapToSampleListFilter< TInputLabelMap, TOutputSampleList, TMeasurementFunctor >::LabelMapToSampleListFilter(), otb::LabelMapWithClassLabelToLabeledSampleListFilter< TInputLabelMap, TOutputSampleList, TOutputTrainingSampleList, TMeasurementFunctor >::LabelMapWithClassLabelToLabeledSampleListFilter(), otb::ListSampleGenerator< TImage, TVectorData >::ListSampleGenerator(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::ListSampleToBalancedListSampleFilter(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToHistogramListGenerator(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToVariableDimensionHistogramGenerator(), itk::Statistics::MeanSampleFilter< TSample >::MeanSampleFilter(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MinimumMaximumImageFilter< TInputImage >::MinimumMaximumImageFilter(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::MinMaxAttributesLabelMapFilter(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::MultiResolutionImageRegistrationMethod(), otb::PathListToHistogramGenerator< TPath, TFunction >::PathListToHistogramGenerator(), itk::PathSource< TOutputPath >::PathSource(), otb::PersistentCompareImageFilter< TInputImage >::PersistentCompareImageFilter(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabel >::PersistentDescriptorsListSampleGenerator(), otb::PersistentHistogramVectorImageFilter< TInputImage >::PersistentHistogramVectorImageFilter(), otb::PersistentInnerProductVectorImageFilter< TInputImage >::PersistentInnerProductVectorImageFilter(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::PersistentMatrixTransposeMatrixImageFilter(), otb::PersistentMinMaxImageFilter< TInputImage >::PersistentMinMaxImageFilter(), otb::PersistentMinMaxVectorImageFilter< TInputImage >::PersistentMinMaxVectorImageFilter(), otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >::PersistentObjectDetectionClassifier(), otb::PersistentStatisticsImageFilter< TInputImage >::PersistentStatisticsImageFilter(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::PersistentStreamingStatisticsMapFromLabelImageFilter(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::PersistentStreamingStatisticsVectorImageFilter(), otb::PersistentVectorImageToMatrixFilter< TInputImage >::PersistentVectorImageToMatrixFilter(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::PointSetToImageRegistrationMethod(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::PointSetToPointSetRegistrationMethod(), otb::ProspectModel::ProspectModel(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalar, TImageDimension >::Relabeler(), otb::SailModel::SailModel(), itk::Statistics::SampleClassifierFilter< TSample >::SampleClassifierFilter(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::SampleToHistogramFilter(), itk::Statistics::SampleToSubsampleFilter< TSample >::SampleToSubsampleFilter(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::ScalarImageToCooccurrenceListSampleFilter(), itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToCooccurrenceMatrixFilter(), itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToRunLengthFeaturesFilter(), itk::Statistics::ScalarImageToRunLengthMatrixFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToRunLengthMatrixFilter(), itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToTextureFeaturesFilter(), itk::watershed::Segmenter< TInputImage >::Segmenter(), itk::watershed::SegmentTreeGenerator< TScalar >::SegmentTreeGenerator(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::MeshSource< TOutputMesh >::SetOutput(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetSegmentTable(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::StandardDeviationPerComponentSampleFilter(), itk::StatisticsImageFilter< TInputImage >::StatisticsImageFilter(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::VideoSource< TOutputVideoStream >::VideoSource(), itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform(), and itk::VideoFileWriter< TInputVideoStream >::Write().

void itk::ProcessObject::SetNumberOfIndexedInputs ( DataObjectPointerArraySizeType  num)
protectedinherited

Define the number of indexed inputs defined for this process. The new indexed inputs are considered to be NULL. If the size is a reduction then those elements are removed.

Called by constructor to set up input array.

Definition at line 142 of file itkProcessObject.cxx.

References NULL.

void itk::ProcessObject::SetNumberOfIndexedOutputs ( DataObjectPointerArraySizeType  num)
protectedinherited

Called to allocate the output array. Copies old outputs.

Called by constructor to set up output array.

Definition at line 536 of file itkProcessObject.cxx.

References NULL.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetNumberOfIterations ( IdentifierType  _arg)
virtualinherited

Set/Get the number of iterations that the filter will run.

void itk::ProcessObject::SetNumberOfRequiredInputs ( DataObjectPointerArraySizeType  nb)
protectedvirtualinherited

Set the number of required indexed inputs. If an input is index by name only as is not associated with an index it is not considered this count. In this class' VerifyPreconditions(), the is check that GetNumberOfValidRequiredInputs() is at least this value.

Definition at line 1891 of file itkProcessObject.cxx.

Referenced by itk::Statistics::CovarianceSampleFilter< TSample >::CovarianceSampleFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingBase< TInput, TOutput >::FastMarchingBase(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramToRunLengthFeaturesFilter(), itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramToTextureFeaturesFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToHistogramListGenerator(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToVariableDimensionHistogramGenerator(), itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >::MaskedFFTNormalizedCorrelationImageFilter(), itk::Statistics::MeanSampleFilter< TSample >::MeanSampleFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), itk::RegionFromReferenceLabelMapFilter< TInputImage >::RegionFromReferenceLabelMapFilter(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::SampleToHistogramFilter(), itk::Statistics::SampleToSubsampleFilter< TSample >::SampleToSubsampleFilter(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::StandardDeviationPerComponentSampleFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( DataObjectPointerArraySizeType  _arg)
protectedvirtualinherited

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BlockMatchingImageFilter< TFixedImage, TMovingImage, TFeatures, TDisplacements, TSimilarities >::BlockMatchingImageFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::Statistics::CovarianceSampleFilter< TSample >::CovarianceSampleFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::watershed::EquivalenceRelabeler< TScalar, TImageDimension >::EquivalenceRelabeler(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), itk::FastMarchingExtensionImageFilterBase< TInput, TOutput, TAuxValue, VAuxDimension >::FastMarchingExtensionImageFilterBase(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::HistogramThresholdCalculator< THistogram, TOutput >::HistogramThresholdCalculator(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), otb::ListSampleToHistogramListGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToHistogramListGenerator(), otb::ListSampleToVariableDimensionHistogramGenerator< TListSample, THistogramMeasurement, TFrequencyContainer >::ListSampleToVariableDimensionHistogramGenerator(), itk::Statistics::MeanSampleFilter< TSample >::MeanSampleFilter(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), itk::MeshSource< TOutputMesh >::MeshSource(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalar, TImageDimension >::Relabeler(), itk::Statistics::SampleToHistogramFilter< TSample, THistogram >::SampleToHistogramFilter(), itk::Statistics::SampleToSubsampleFilter< TSample >::SampleToSubsampleFilter(), itk::Statistics::ScalarImageToCooccurrenceListSampleFilter< TImage >::ScalarImageToCooccurrenceListSampleFilter(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::Statistics::StandardDeviationPerComponentSampleFilter< TSample >::StandardDeviationPerComponentSampleFilter(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::VideoSource< TOutputVideoStream >::VideoSource(), itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfThreads ( ThreadIdType  _arg)
virtualinherited
virtual void itk::Object::SetObjectName ( std::string  _arg)
virtualinherited

A facility to help application programmers set a human identifiable name for a given object. This has no inherent use in ITK, but is a convenience to allow developers to provide a name for this object.

void itk::ProcessObject::SetOutput ( const DataObjectIdentifierType name,
DataObject output 
)
protectedvirtualinherited

Set an output

Set an Output of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.

Definition at line 443 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

void itk::ProcessObject::SetPrimaryInput ( DataObject input)
protectedvirtualinherited

Set the main input

Definition at line 793 of file itkProcessObject.cxx.

void itk::ProcessObject::SetPrimaryInputName ( const DataObjectIdentifierType key)
protectedvirtualinherited

Set/Get the name associated with the Primary output. Defaults to "Primary".

Definition at line 804 of file itkProcessObject.cxx.

void itk::ProcessObject::SetPrimaryOutput ( DataObject output)
protectedvirtualinherited

Set the main output

Definition at line 627 of file itkProcessObject.cxx.

void itk::ProcessObject::SetPrimaryOutputName ( const DataObjectIdentifierType key)
protectedvirtualinherited

Set/Get the name associated with the Primary output. Defaults to "Primary".

Definition at line 634 of file itkProcessObject.cxx.

void itk::ProcessObject::SetProgress ( float  progress)
inlineinherited
Deprecated:
Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked. This method is deprecated because filters should not be calling SetProgress directly but should be using UpdateProgress instead. We avoid the use of the itkSetClampMacro because that macro calls Modified on the filter, which will cause the filter to rerun even if it doesn't need to. Thus, we implement the SetClampMacro directly without the call to Modified.

Definition at line 255 of file itkProcessObject.h.

void itk::Object::SetReferenceCount ( int  ref)
virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 359 of file itkObject.cxx.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool  _arg)
virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::SetReleaseDataFlag ( bool  flag)
virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 1192 of file itkProcessObject.cxx.

void itk::ProcessObject::SetRequiredInputNames ( const NameArray names)
protectedinherited

Definition at line 929 of file itkProcessObject.cxx.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetRMSChange ( double  _arg)
virtualinherited

Set/Get the root mean squared change of the previous iteration. May not be used by all solvers.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetSmoothDisplacementField ( bool  _arg)
virtualinherited

Set/Get whether the displacement field is smoothed (regularized). Smoothing the displacement yields a solution elastic in nature. If SmoothDisplacementField is on, then the displacement field is smoothed with a Gaussian whose standard deviations are specified with SetStandardDeviations()

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetSmoothUpdateField ( bool  _arg)
virtualinherited

Set/Get whether the update field is smoothed (regularized). Smoothing the update field yields a solution viscous in nature. If SmoothUpdateField is on, then the update field is smoothed with a Gaussian whose standard deviations are specified with SetUpdateFieldStandardDeviations()

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetStandardDeviations ( StandardDeviationsType  _arg)
virtualinherited

Set the Gaussian smoothing standard deviations for the displacement field. The values are set with respect to pixel coordinates.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetStandardDeviations ( double  value)
virtualinherited

Set the standard deviations.

Definition at line 142 of file itkPDEDeformableRegistrationFilter.hxx.

void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetStateToInitialized ( )
inlineinherited

Definition at line 214 of file itkFiniteDifferenceImageFilter.h.

void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetStateToUninitialized ( )
inlineinherited

Definition at line 213 of file itkFiniteDifferenceImageFilter.h.

void itk::Object::SetTimeStamp ( const TimeStamp timeStamp)
protectedvirtualinherited

Set the time stamp of this object. This method must be used very carefully !!!. Most mortals will never need to call this method.

Set the time stamp of this object. To be used very carefully !!!. Most mortals will never need to call this method.

Definition at line 302 of file itkObject.cxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetUpdateFieldStandardDeviations ( StandardDeviationsType  _arg)
virtualinherited

Set the Gaussian smoothing standard deviations for the update field. The values are set with respect to pixel coordinates.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SetUpdateFieldStandardDeviations ( double  value)
virtualinherited

Definition at line 170 of file itkPDEDeformableRegistrationFilter.hxx.

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::SetUseImageSpacing ( bool  _arg)
virtualinherited

Use the image spacing information in calculations. Use this option if you want derivatives in physical space. Default is UseImageSpacingOn.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothDisplacementField ( )
protectedvirtualinherited

Utility to smooth the displacement field (represented in the Output) using a Guassian operator. The amount of smoothing can be specified by setting the StandardDeviations.

Definition at line 390 of file itkPDEDeformableRegistrationFilter.hxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothDisplacementFieldOff ( )
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothDisplacementFieldOn ( )
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothUpdateField ( )
protectedvirtualinherited

Utility to smooth the UpdateBuffer using a Gaussian operator. The amount of smoothing can be specified by setting the UpdateFieldStandardDeviations.

Definition at line 460 of file itkPDEDeformableRegistrationFilter.hxx.

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothUpdateFieldOff ( )
virtualinherited
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::SmoothUpdateFieldOn ( )
virtualinherited
virtual unsigned int itk::ImageSource< TDisplacementField >::SplitRequestedRegion ( unsigned int  i,
unsigned int  num,
OutputImageRegionType splitRegion 
)
protectedvirtualinherited

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called concurrently "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

To override the algorithm used split the image this method should no longer be overridden. It stead the algorithm should be implemented in a ImageRegionSplitter class, and the GetImageRegionSplitter should overridden to return the splitter object with the desired algorithm.

See Also
GetImageRegionSplitter
template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
virtual void itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::StopRegistration ( void  )
inlinevirtualinherited
virtual void itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ThreadedApplyUpdate ( const TimeStepType dt,
const ThreadRegionType regionToProcess,
ThreadIdType  threadId 
)
protectedvirtualinherited

Does the actual work of updating the output from the UpdateContainer over an output region supplied by the multithreading mechanism.

See Also
ApplyUpdate
ApplyUpdateThreaderCallback
virtual TimeStepType itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ThreadedCalculateChange ( const ThreadRegionType regionToProcess,
ThreadIdType  threadId 
)
protectedvirtualinherited

Does the actual work of calculating change over a region supplied by the multithreading mechanism.

See Also
CalculateChange
CalculateChangeThreaderCallback
virtual void itk::ImageSource< TDisplacementField >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
ThreadIdType  threadId 
)
protectedvirtualinherited

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See Also
GenerateData(), SplitRequestedRegion()
virtual bool itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::ThreadedHalt ( void *  )
inlineprotectedvirtualinherited

This method is similar to Halt(), and its default implementation in this class is simply to call Halt(). However, this method takes as a parameter a void pointer to the MultiThreader::ThreadInfoStruct structure. If you override this method instead of overriding Halt, you will be able to get the current thread ID and handle the Halt method accordingly. This is useful if you are doing a lot of processing in Halt that you don't want parallelized. Notice that ThreadedHalt is only called by the multithreaded filters, so you still should implement Halt, just in case a non-threaded filter is used.

Definition at line 284 of file itkFiniteDifferenceImageFilter.h.

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TDisplacementField >::ThreaderCallback ( void *  arg)
staticprotectedinherited

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::typedef ( Concept::MultiplyOperator< PixelType, double >  )
inherited

This class requires OutputTimesDoubleCheck in the form of ( Concept::MultiplyOperator< PixelType, double > )

itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::typedef ( Concept::AdditiveOperators< PixelType )
inherited

This class requires OutputAdditiveOperatorsCheck in the form of ( Concept::AdditiveOperators< PixelType > )

itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::typedef ( Concept::AdditiveAndAssignOperators< PixelType )
inherited

This class requires OutputAdditiveAndAssignOperatorsCheck in the form of ( Concept::AdditiveAndAssignOperators< PixelType > )

itk::DenseFiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::typedef ( Concept::Convertible< typename TDisplacementField ::PixelType, PixelType )
inherited

This class requires InputConvertibleToOutputCheck in the form of ( Concept::Convertible< typename TInputImage::PixelType, PixelType > )

void itk::Object::UnRegister ( ) const
virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 337 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::DeleteNonInternalFactory(), and itk::Object::New().

void itk::ProcessObject::Update ( void  )
virtualinherited

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

The following methods are used to coordinate the execution of the data processing pipeline.

Reimplemented in otb::StreamingShrinkImageFilter< TInputImage, TOutputImage >, otb::ImageFileWriter< TInputImage >, itk::ImageFileWriter< TInputImage >, otb::MapFileProductWriter< TInputImage >, otb::GDALOverviewsBuilder, otb::SEMClassifier< TInputImage, TOutputImage >, otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, otb::ImageSeriesFileReaderBase< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::StreamingImageVirtualWriter< TInputImage >, itk::ImageSeriesWriter< TInputImage, TOutputImage >, otb::KmzProductWriter< TInputImage >, otb::VCAImageFilter< TVectorImage >, otb::SVMClassifier< TSample, TLabel >, itk::VideoFileWriter< TInputVideoStream >, otb::RCC8GraphFileWriter< TInputGraph >, otb::ScalarBufferToImageFileWriter< TBufferType, TOutputPixelType >, otb::VectorDataFileWriter< TInputVectorData >, otb::VectorDataFileWriter< otb::VectorData >, otb::ConfusionMatrixToMassOfBelief< TConfusionMatrix, TLabel >, otb::PersistentFilterStreamingDecorator< TFilter >, otb::PersistentFilterStreamingDecorator< PersistentMatrixTransposeMatrixImageFilter< TInputImage1, TInputImage2 > >, otb::PersistentFilterStreamingDecorator< PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage > >, otb::PersistentFilterStreamingDecorator< PersistentInnerProductVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentHistogramVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, itk::FunctionBase< itk::Point< TCoordRep, 2 >, DefaultDescriptorsType< TOutputPrecision >::Type >, TListSample, TLabel > >, otb::PersistentFilterStreamingDecorator< PersistentMinMaxVectorImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentShrinkImageFilter< TInputImage, TOutputImage > >, otb::PersistentFilterStreamingDecorator< PersistentMinMaxImageFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentImageToOGRLayerSegmentationFilter< TImageType, TSegmentationFilter > >, otb::PersistentFilterStreamingDecorator< PersistentVectorImageToMatrixFilter< TInputImage > >, otb::PersistentFilterStreamingDecorator< PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, itk::FunctionBase< itk::Point< TCoordRep, 2 >, DefaultDescriptorType< TFunctionPrecision >::Type > > >, otb::PersistentFilterStreamingDecorator< PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision > >, otb::PersistentFilterStreamingDecorator< PersistentStatisticsImageFilter< TInputImage > >, and otb::PersistentFilterStreamingDecorator< PersistentCompareImageFilter< TInputImage > >.

Definition at line 1310 of file itkProcessObject.cxx.

Referenced by itk::OtsuThresholdCalculator< THistogram, TOutput >::Compute(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::WatershedImageFilter< TInputImage >::GetBasicSegmentation().

void itk::ProcessObject::UpdateLargestPossibleRegion ( )
virtualinherited

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

Reimplemented in itk::ImageFileWriter< TInputImage >, and itk::VideoFileWriter< TInputVideoStream >.

Definition at line 1851 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputData ( DataObject output)
virtualinherited

Actually generate new output

prevent chasing our tail

Prepare all the outputs. This may deallocate previous bulk data.

Propagate the update call - make sure everything we might rely on is up-to-date Must call PropagateRequestedRegion before UpdateOutputData if multiple inputs since they may lead back to the same data object.

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Tell all Observers that the filter is starting

GenerateData this object - we have not aborted yet, and our progress before we start to execute is 0.0.

If we ended due to aborting, push the progress up to 1.0 (since it probably didn't end there)

Notify end event observers

Now we have to mark the data as up to date.

Restore the state of any input ReleaseDataFlags

Release any inputs if marked for release

Reimplemented in itk::FFTWComplexToComplexImageFilter< TImage >, itk::TemporalProcessObject, itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >, itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 1668 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputInformation ( void  )
virtualinherited

Update the information describing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Watch out for loops in the pipeline

Since we are in a loop, we will want to update. But if we don't modify this filter, then we will not execute because our OutputInformationMTime will be more recent than the MTime of our output.

Verify that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately before we continue the pipeline, i.e. is the filter in a state that it can be run.

We now wish to set the PipelineMTime of each output DataObject to the largest of this ProcessObject's MTime, all input DataObject's PipelineMTime, and all input's MTime. We begin with the MTime of this ProcessObject.

Loop through the inputs

Propagate the UpdateOutputInformation call

What is the PipelineMTime of this input? Compare this against our current computation to find the largest one.

Pipeline MTime of the input does not include the MTime of the data object itself. Factor these mtimes into the next PipelineMTime

Call GenerateOutputInformation for subclass specific information. Since UpdateOutputInformation propagates all the way up the pipeline, we need to be careful here to call GenerateOutputInformation only if necessary. Otherwise, we may cause this source to be modified which will cause it to execute again on the next update.

Verify that all the inputs are consistent with the requirements of the filter. For example, subclasses might want to ensure all the inputs are in the same coordinate frame.

Finally, generate the output information.

Keep track of the last time GenerateOutputInformation() was called

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, itk::TemporalProcessObject, itk::VideoToVideoFilter< TInputVideoStream, TOutputVideoStream >, itk::VideoToVideoFilter< itk::VideoStream< TImageToImageFilter::InputImageType >, itk::VideoStream< TImageToImageFilter::OutputImageType > >, itk::VideoToVideoFilter< TVideoStream, TVideoStream >, and itk::VideoFileReader< TOutputVideoStream >.

Definition at line 1420 of file itkProcessObject.cxx.

References itk::Object::GetMTime(), itk::DataObject::GetPipelineMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().

Referenced by itk::TemporalProcessObject::UpdateOutputInformation().

void itk::ProcessObject::UpdateProgress ( float  progress)
inherited

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

Update the progress of the process object. If a ProgressMethod exists, execute it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).

Definition at line 1163 of file itkProcessObject.cxx.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >::InitializeIteration(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration(), otb::otb_UpdateGDALProgress(), itk::ProgressReporter::ProgressReporter(), itk::TemporalProcessObject::UpdateOutputData(), and itk::ProgressReporter::~ProgressReporter().

virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::UseImageSpacingOff ( )
virtualinherited
virtual void itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::UseImageSpacingOn ( )
virtualinherited
virtual void itk::ImageToImageFilter< TDisplacementField , TDisplacementField >::VerifyInputInformation ( )
protectedvirtualinherited

Verifies that the input images occupy the same physical space and the each index is at the same physical location.

The default implementation of the PropagateRequestedRegion methods copies the index and size from the output to the input. This makes an implicit assumption that the images occupy the same physical location at each voxel. This method enforces that they are the same.

This implementation verifies that all input images of InputImageDimensions have the same origin, spacing and direction.

Filters which do not expect all input images to be at the same physical location should over-ride this method. Also filters whose inputs are different dimensions may need to overide this method.

See Also
ProcessObject::VerifyInputInformation

Reimplemented from itk::ProcessObject.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType >, and itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >.

void itk::ProcessObject::VerifyPreconditions ( )
protectedvirtualinherited

Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown.

This method is called before UpdateOutputInformation is propagated to the inputs.

The ProcessObject's implementation verifies that the NumberOfRequiredInputs are set and not null.

Make sure that all the required named inputs are there and non null

Verify the require named inputs.

Count the number of required indexed inputs which have been assigned

Reimplemented in itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage >, and itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >.

Definition at line 1360 of file itkProcessObject.cxx.

References NULL.

Member Data Documentation

template<typename TFixedImage , typename TMovingImage , typename TDisplacementField >
const unsigned int itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >::ImageDimension = Superclass::ImageDimension
staticinherited

Inherit some enums and typedefs from the superclass.

Definition at line 122 of file itkPDEDeformableRegistrationFilter.h.

const unsigned int itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::InputImageDimension
staticinherited

ImageDimension constants

Definition at line 99 of file itkInPlaceImageFilter.h.

IdentifierType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_ElapsedIterations
protectedinherited

A counter for keeping track of the number of elapsed iterations during filtering.

Definition at line 329 of file itkFiniteDifferenceImageFilter.h.

bool itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_IsInitialized
protectedinherited

State that the filter is in, i.e. UNINITIALIZED or INITIALIZED

Definition at line 229 of file itkFiniteDifferenceImageFilter.h.

bool itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_ManualReinitialization
protectedinherited

Indicates whether the filter automatically resets to UNINITIALIZED state after completing, or whether filter must be manually reset

Definition at line 333 of file itkFiniteDifferenceImageFilter.h.

double itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_MaximumRMSError
protectedinherited

Definition at line 336 of file itkFiniteDifferenceImageFilter.h.

IdentifierType itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_NumberOfIterations
protectedinherited

The maximum number of iterations this filter will run

Definition at line 325 of file itkFiniteDifferenceImageFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime
protectedinherited

Time when GenerateOutputInformation was last called.

Definition at line 703 of file itkProcessObject.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount
mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 156 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock
mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 159 of file itkLightObject.h.

double itk::FiniteDifferenceImageFilter< TDisplacementField , TDisplacementField >::m_RMSChange
protectedinherited

Definition at line 335 of file itkFiniteDifferenceImageFilter.h.

bool itk::ProcessObject::m_Updating
protectedinherited

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 700 of file itkProcessObject.h.

Referenced by itk::TemporalProcessObject::UpdateOutputData().

const unsigned int itk::InPlaceImageFilter< TDisplacementField , TDisplacementField >::OutputImageDimension
staticinherited

Definition at line 101 of file itkInPlaceImageFilter.h.


The documentation for this class was generated from the following files:

Generated at Sat Mar 8 2014 17:51:21 for Orfeo Toolbox with doxygen 1.8.3.1