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itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType > Class Template Reference

Performs Bayesian Classification on an image. More...

#include <itkBayesianClassifierImageFilter.h>

+ Inheritance diagram for itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >:
+ Collaboration diagram for itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >:

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef
Superclass::DataObjectIdentifierType 
DataObjectIdentifierType
 
typedef
Superclass::DataObjectPointer 
DataObjectPointer
 
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
 
typedef
ProcessObject::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
 
typedef DecisionRuleType::Pointer DecisionRulePointer
 
typedef
Statistics::MaximumDecisionRule 
DecisionRuleType
 
typedef itk::Image
< TPosteriorsPrecisionType,
itkGetStaticConstMacro(Dimension) > 
ExtractedComponentImageType
 
typedef InputImageType::RegionType ImageRegionType
 
typedef
InputImageType::ConstPointer 
InputImageConstPointer
 
typedef
ImageRegionConstIterator
< InputImageType
InputImageIteratorType
 
typedef InputImageType::PixelType InputImagePixelType
 
typedef
InputImageType::ConstPointer 
InputImagePointer
 
typedef InputImageType::RegionType InputImageRegionType
 
typedef Superclass::InputImageType InputImageType
 
typedef InputImageType::PixelType InputPixelType
 
typedef
ImageRegionConstIterator
< MembershipImageType
MembershipImageIteratorType
 
typedef
MembershipImageType::Pointer 
MembershipImagePointer
 
typedef TInputVectorImage MembershipImageType
 
typedef
MembershipImageType::PixelType 
MembershipPixelType
 
typedef std::vector
< DataObjectIdentifierType
NameArray
 
typedef ImageRegionIterator
< OutputImageType
OutputImageIteratorType
 
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
 
typedef OutputImageType::Pointer OutputImagePointer
 
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
 
typedef Image< TLabelsType,
itkGetStaticConstMacro(Dimension) > 
OutputImageType
 
typedef OutputImageType::PixelType OutputPixelType
 
typedef SmartPointer< SelfPointer
 
typedef ImageRegionIterator
< PosteriorsImageType
PosteriorsImageIteratorType
 
typedef
PosteriorsImageType::Pointer 
PosteriorsImagePointer
 
typedef VectorImage
< TPosteriorsPrecisionType,
itkGetStaticConstMacro(Dimension) > 
PosteriorsImageType
 
typedef
PosteriorsImageType::PixelType 
PosteriorsPixelType
 
typedef
ImageRegionConstIterator
< PriorsImageType
PriorsImageIteratorType
 
typedef PriorsImageType::Pointer PriorsImagePointer
 
typedef VectorImage
< TPriorsPrecisionType,
itkGetStaticConstMacro(Dimension) > 
PriorsImageType
 
typedef PriorsImageType::PixelType PriorsPixelType
 
typedef
BayesianClassifierImageFilter 
Self
 
typedef
SmoothingFilterType::Pointer 
SmoothingFilterPointer
 
typedef ImageToImageFilter
< ExtractedComponentImageType,
ExtractedComponentImageType
SmoothingFilterType
 
typedef ImageToImageFilter
< TInputVectorImage, Image
< TLabelsType,
TInputVectorImage::ImageDimension > > 
Superclass
 

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 ::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 double GetDirectionTolerance () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
const InputImageTypeGetInput (void) const
 
const InputImageTypeGetInput (unsigned int idx) const
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
MultiThreaderGetMultiThreader () const
 
virtual const char * GetNameOfClass () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual unsigned int GetNumberOfSmoothingIterations () const
 
virtual const ThreadIdTypeGetNumberOfThreads ()
 
virtual
DataObjectPointerArraySizeType 
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 SmoothingFilterPointer GetSmoothingFilter () const
 
virtual const TimeStampGetTimeStamp () const
 
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
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
 itkCloneMacro (Self)
 
virtual DataObjectPointer MakeOutput (DataObjectPointerArraySizeType idx)
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
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 SetDirectionTolerance (double _arg)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputVectorImage *image)
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetNumberOfSmoothingIterations (unsigned int _arg)
 
virtual void SetNumberOfThreads (ThreadIdType _arg)
 
virtual void SetObjectName (std::string _arg)
 
virtual void SetPriors (const PriorsImageType *)
 
void SetProgress (float progress)
 
virtual void SetReferenceCount (int)
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual void SetReleaseDataFlag (bool flag)
 
void SetSmoothingFilter (SmoothingFilterType *)
 
 typedef (Concept::Convertible< unsigned int, TLabelsType >) UnsignedIntConvertibleToLabelsCheck
 
 typedef (Concept::AdditiveOperators< TPosteriorsPrecisionType >) PosteriorsAdditiveOperatorsCheck
 
 typedef (Concept::Convertible< int, TPosteriorsPrecisionType >) IntConvertibleToPosteriorsCheck
 
 typedef (Concept::HasNumericTraits< typename InputPixelType::ValueType >) InputHasNumericTraitsCheck
 
 typedef (Concept::HasNumericTraits< TPosteriorsPrecisionType >) PosteriorsHasNumericTraitsCheck
 
 typedef (Concept::HasNumericTraits< TPriorsPrecisionType >) PriorsHasNumericTraitsCheck
 
 typedef (Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType >) InputPriorsPosteriorsMultiplyOperatorCheck
 
virtual void UnRegister () const
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 

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 Dimension = InputImageType ::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
 

Protected Member Functions

 BayesianClassifierImageFilter ()
 
virtual ~BayesianClassifierImageFilter ()
 
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 BeforeThreadedGenerateData ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void ClassifyBasedOnPosteriors ()
 
virtual void ComputeBayesRule ()
 
virtual void GenerateData ()
 
virtual void GenerateInputRequestedRegion ()
 
virtual void GenerateOutputInformation (void)
 
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
 
PosteriorsImageTypeGetPosteriorImage ()
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual const char * GetPrimaryInputName (void) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual const char * GetPrimaryOutputName (void) const
 
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 NormalizeAndSmoothPosteriors ()
 
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 void RestoreInputReleaseDataFlags ()
 
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 unsigned int SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
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

TimeStamp m_OutputInformationMTime
 
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 
bool m_Updating
 

Private Member Functions

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

Private Attributes

unsigned int m_NumberOfSmoothingIterations
 
SmoothingFilterPointer m_SmoothingFilter
 
bool m_UserProvidedPriors
 
bool m_UserProvidedSmoothingFilter
 

Detailed Description

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
class itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >

Performs Bayesian Classification on an image.

Inputs and Outputs
The input to this filter is an itk::VectorImage that represents pixel memberships to 'n' classes. This image is conveniently generated by the BayesianClassifierInitializationImageFilter. You may use that filter to generate the membership images or specify your own.
The output of the filter is a label map (an image of unsigned char's is the default.) with pixel values indicating the classes they correspond to. Pixels with intensity 0 belong to the 0th class, 1 belong to the 1st class etc.... The classification is done by applying a Maximum decision rule to the posterior image.
Parameters
The filter optionally allows you to specify a prior image as well. The prior image, if specified must be a VectorImage with as many components as the number of classes. The posterior image is then generated by multiplying the prior image with the membership image. If the prior image is not specified, the posterior image is the same as the membership image. Another way to look at it is that the priors default to having a uniform distribution over the number of classes. Posterior membership of a pixel = Prior * Membership
The filter optionally accepts a smoothing filter and number of iterations associated with the smoothing filter. The philosophy is that the filter allows you to iteratively smooth the posteriors prior to applying the decision rule. It is hoped that this would yield a better classification. The user will need to plug in his own smoothing filter with all the parameters set.
Template parameters
InputVectorImage, datatype of the output labelmap, precision of the posterior image, precision of the prior image.
Author
John Melonakos, Georgia Tech
Note
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.
See Also
VectorImage
BayesianClassifierInitializationImageFilter

Definition at line 81 of file itkBayesianClassifierImageFilter.h.

Member Typedef Documentation

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef SmartPointer< const Self > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ConstPointer

Definition at line 94 of file itkBayesianClassifierImageFilter.h.

typedef Superclass::DataObjectIdentifierType itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::DataObjectIdentifierType
inherited

Definition at line 99 of file itkImageSource.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef Superclass::DataObjectPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DataObjectPointer

Definition at line 155 of file itkBayesianClassifierImageFilter.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.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ProcessObject::DataObjectPointerArraySizeType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DataObjectPointerArraySizeType

This is overloaded to create the Posteriors output image

Definition at line 179 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef DecisionRuleType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DecisionRulePointer

Definition at line 153 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef Statistics::MaximumDecisionRule itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DecisionRuleType

Decision rule to use for defining the label

Definition at line 152 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef itk::Image< TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ExtractedComponentImageType

An image from a single component of the Posterior

Definition at line 159 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef InputImageType::RegionType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ImageRegionType

Definition at line 113 of file itkBayesianClassifierImageFilter.h.

typedef InputImageType::ConstPointer itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::InputImageConstPointer
inherited

Definition at line 121 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageRegionConstIterator< InputImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImageIteratorType

Input and Output image iterators

Definition at line 116 of file itkBayesianClassifierImageFilter.h.

typedef InputImageType::PixelType itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::InputImagePixelType
inherited

Definition at line 123 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef InputImageType::ConstPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImagePointer

Definition at line 111 of file itkBayesianClassifierImageFilter.h.

typedef InputImageType::RegionType itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::InputImageRegionType
inherited

Definition at line 122 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef Superclass::InputImageType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputImageType

Input and Output image types

Definition at line 100 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef InputImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::InputPixelType

Pixel types.

Definition at line 120 of file itkBayesianClassifierImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageRegionConstIterator< MembershipImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImageIteratorType

Definition at line 139 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef MembershipImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImagePointer

Definition at line 138 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef TInputVectorImage itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipImageType

Image Type and Pixel type for the images representing the membership of a pixel to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 136 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef MembershipImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MembershipPixelType

Definition at line 137 of file itkBayesianClassifierImageFilter.h.

STL array of data object names

Definition at line 142 of file itkProcessObject.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageRegionIterator< OutputImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImageIteratorType

Definition at line 117 of file itkBayesianClassifierImageFilter.h.

typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::OutputImagePixelType
inherited

Definition at line 116 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef OutputImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImagePointer

Definition at line 112 of file itkBayesianClassifierImageFilter.h.

typedef Superclass::OutputImageRegionType itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::OutputImageRegionType
inherited

Superclass typedefs.

Definition at line 112 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef Image< TLabelsType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputImageType

Definition at line 110 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef OutputImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::OutputPixelType

Definition at line 121 of file itkBayesianClassifierImageFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef SmartPointer< Self > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Pointer

Definition at line 93 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageRegionIterator< PosteriorsImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImageIteratorType

Definition at line 149 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef PosteriorsImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImagePointer

Definition at line 148 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef VectorImage< TPosteriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImageType

Image Type and Pixel type for the images representing the Posterior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 146 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef PosteriorsImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsPixelType

Definition at line 147 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageRegionConstIterator< PriorsImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImageIteratorType

Definition at line 131 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef PriorsImageType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImagePointer

Definition at line 130 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef VectorImage< TPriorsPrecisionType, itkGetStaticConstMacro(Dimension) > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsImageType

Image Type and Pixel type for the images representing the Prior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 128 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef PriorsImageType::PixelType itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PriorsPixelType

Definition at line 129 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef BayesianClassifierImageFilter itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Self

Standard class typedefs.

Definition at line 88 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef SmoothingFilterType::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SmoothingFilterPointer

Definition at line 166 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageToImageFilter< ExtractedComponentImageType, ExtractedComponentImageType > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SmoothingFilterType

Optional Smoothing filter that will be applied to the Posteriors

Definition at line 164 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
typedef ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > > itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Superclass

Definition at line 91 of file itkBayesianClassifierImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::BayesianClassifierImageFilter ( )
protected

Constructor

Definition at line 43 of file itkBayesianClassifierImageFilter.hxx.

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

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::~BayesianClassifierImageFilter ( )
inlineprotectedvirtual

Definition at line 209 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::BayesianClassifierImageFilter ( 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< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::AllocateOutputs ( )
protectedvirtualinherited

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

virtual void itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

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 void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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).

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ClassifyBasedOnPosteriors ( )
protectedvirtual
template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::ComputeBayesRule ( )
protectedvirtual

Methods for computing the labeled map for all combinations of conditions

Compute the posteriors using the Bayes rule. If no priors are available, then the posteriors are just a copy of the memberships.

Definition at line 165 of file itkBayesianClassifierImageFilter.hxx.

References itk::ImageConstIterator< TImage >::Get(), itk::ImageRegionConstIterator< TImage >::GoToBegin(), itk::ImageConstIterator< TImage >::IsAtEnd(), NULL, and itk::ImageRegionIterator< TImage >::Set().

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual::itk::LightObject::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::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::Object.

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.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GenerateData ( void  )
protectedvirtual

Here is where the classification is computed.

Generate Data method is where the classification (and smoothing) is performed.

Reimplemented from itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >.

Definition at line 81 of file itkBayesianClassifierImageFilter.hxx.

virtual void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::GenerateInputRequestedRegion ( void  )
protectedvirtualinherited

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierarchy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See Also
ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::ProcessObject.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GenerateOutputInformation ( void  )
protectedvirtual

Generate the information describing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Default implementation - copy information from first input to all outputs

Reimplemented from itk::ProcessObject.

Definition at line 143 of file itkBayesianClassifierImageFilter.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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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 double itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetDirectionTolerance ( ) const
virtualinherited
static const ImageRegionSplitterBase* itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

const InputImageType* itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetInput ( void  ) const
inherited
const InputImageType* itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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::BinaryReconstructionByDilationImageFilter< TInputImage >::GetMarkerImage(), itk::BinaryReconstructionByErosionImageFilter< 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::BinaryReconstructionByDilationImageFilter< TInputImage >::GetMaskImage(), itk::BinaryReconstructionByErosionImageFilter< 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().

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.

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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual const char* itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >.

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().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const
inherited
virtual const DataObjectPointerArraySizeType& itk::ProcessObject::GetNumberOfRequiredInputs ( )
protectedvirtualinherited
virtual const DataObjectPointerArraySizeType& itk::ProcessObject::GetNumberOfRequiredOutputs ( )
protectedvirtualinherited
template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetNumberOfSmoothingIterations ( ) const
virtual
virtual const ThreadIdType& itk::ProcessObject::GetNumberOfThreads ( )
virtualinherited
ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const
virtualinherited

Get the number of valid indexed inputs. This method is used to determine whether the necessary required inputs have been set.

Get the number of specified inputs

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

Definition at line 184 of file itkProcessObject.cxx.

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

virtual const std::string& itk::Object::GetObjectName ( )
virtualinherited
OutputImageType* itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

const OutputImageType* itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::GetOutput ( void  ) const
inherited
OutputImageType* itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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(), itk::Statistics::ImageToHistogramFilter< TImage >::GetOutput(), otb::ImageToModulusAndDirectionImageFilter< TInputImage, TOutputImage, TOutputImageDirection >::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().

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PosteriorsImageType * itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetPosteriorImage ( )
protected
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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual SmoothingFilterPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::GetSmoothingFilter ( ) const
virtual
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().

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< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

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.

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.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::DataObjectPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::MakeOutput ( DataObjectPointerArraySizeType  idx)
virtual

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::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >.

Definition at line 129 of file itkBayesianClassifierImageFilter.hxx.

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().

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::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputFilenameListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::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::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >::SetPlanRigor(), itk::FFTWRealToHalfHermitianForwardFFTImageFilter< 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::InputFilenameParameter::SetValue(), otb::Wrapper::OutputFilenameParameter::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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
static Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::New ( )
static

Method for creation through the object factory.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::NormalizeAndSmoothPosteriors ( )
protectedvirtual
template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::operator= ( const Self )
private
virtual void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::PopBackInput ( )
virtualinherited

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

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::PopFrontInput ( )
virtualinherited

Reimplemented from itk::ProcessObject.

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 TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual
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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::PushFrontInput ( const InputImageType image)
virtualinherited
void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

void itk::ProcessObject::ReleaseInputs ( )
protectedvirtualinherited

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See Also
InPlaceImageFilter::ReleaseInputs()

Reimplemented in otb::HooverInstanceFilter< TLabelMap >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImageHH, TOutputImage >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TDisplacementField, TDisplacementField >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::InPlaceImageFilter< TInputImageRealPart, TOutputImage >, itk::InPlaceImageFilter< TImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageR, TOutputImage >, itk::InPlaceImageFilter< TInputMultiSpectralImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputVectorImage >, itk::InPlaceImageFilter< TInputImageG, TOutputImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceImageFilter< TInputVectorImage, TOutputImage >, itk::InPlaceImageFilter< TInputImageImaginaryPart, TOutputImage >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, and otb::LabelMapSVMClassifier< TInputLabelMap >.

Definition at line 1649 of file itkProcessObject.cxx.

Referenced by otb::LabelMapSVMClassifier< TInputLabelMap >::ReleaseInputs(), itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::TemporalProcessObject::UpdateOutputData().

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().

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< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

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.

virtual void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::SetInput ( const InputImageType image)
virtualinherited
virtual void itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::SetInput ( unsigned  int,
const TInputVectorImage *  image 
)
virtualinherited

Connect one of the operands for pixel-wise addition

void itk::ProcessObject::SetInput ( const DataObjectIdentifierType key,
DataObject input 
)
protectedvirtualinherited
void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs)
inherited
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::InterpolateImageFilter< TInputImage, TOutputImage >::SetInput2(), itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, 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.

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().

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetNumberOfSmoothingIterations ( unsigned int  _arg)
virtual

Number of iterations to apply the smoothing filter

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.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetPriors ( const PriorsImageType priors)
virtual

Set the priors

Set the prior image

Definition at line 262 of file itkBayesianClassifierImageFilter.hxx.

References itk::ProcessObject::SetNthInput().

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.

template<typename TInputVectorImage , typename TLabelsType , typename TPosteriorsPrecisionType , typename TPriorsPrecisionType >
void itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::SetSmoothingFilter ( SmoothingFilterType smoothingFilter)

Set/ Get macros for the smoothing filter that may optionally be applied to the posterior image

Definition at line 247 of file itkBayesianClassifierImageFilter.hxx.

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.

virtual unsigned int itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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
virtual void itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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()
static ITK_THREAD_RETURN_TYPE itk::ImageSource< Image< TLabelsType, TInputVectorImage::ImageDimension > >::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().

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::Convertible< unsigned int, TLabelsType >  )

This class requires UnsignedIntConvertibleToLabelsCheck in the form of ( Concept::Convertible< unsigned int, TLabelsType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::AdditiveOperators< TPosteriorsPrecisionType >  )

This class requires PosteriorsAdditiveOperatorsCheck in the form of ( Concept::AdditiveOperators< TPosteriorsPrecisionType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::Convertible< int, TPosteriorsPrecisionType >  )

This class requires IntConvertibleToPosteriorsCheck in the form of ( Concept::Convertible< int, TPosteriorsPrecisionType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::HasNumericTraits< typename InputPixelType::ValueType >  )

This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename InputPixelType::ValueType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::HasNumericTraits< TPosteriorsPrecisionType >  )

This class requires PosteriorsHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TPosteriorsPrecisionType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::HasNumericTraits< TPriorsPrecisionType >  )

This class requires PriorsHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< TPriorsPrecisionType > )

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::typedef ( Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType )

This class requires InputPriorsPosteriorsMultiplyOperatorCheck in the form of ( Concept::MultiplyOperator< typename InputPixelType::ValueType, PriorsPixelType, PosteriorsPixelType > )

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::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::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.

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 TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
const unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::Dimension = InputImageType ::ImageDimension
static

Dimension of the input image

Definition at line 107 of file itkBayesianClassifierImageFilter.h.

const unsigned int itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::InputImageDimension
staticinherited

ImageDimension constants

Definition at line 127 of file itkImageToImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
unsigned int itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_NumberOfSmoothingIterations
private

Number of iterations to apply the smoothing filter

Definition at line 242 of file itkBayesianClassifierImageFilter.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.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
SmoothingFilterPointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_SmoothingFilter
private

Pointer to optional Smoothing filter

Definition at line 239 of file itkBayesianClassifierImageFilter.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().

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
bool itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_UserProvidedPriors
private

Boolean flag indicating that the user defined the Priors optional input

Definition at line 233 of file itkBayesianClassifierImageFilter.h.

template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
bool itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::m_UserProvidedSmoothingFilter
private

Boolean flag indicating that the user provided a Smoothing filter

Definition at line 236 of file itkBayesianClassifierImageFilter.h.

const unsigned int itk::ImageToImageFilter< TInputVectorImage , Image< TLabelsType, TInputVectorImage::ImageDimension > >::OutputImageDimension
staticinherited

Definition at line 129 of file itkImageToImageFilter.h.


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

Generated at Sat Mar 8 2014 16:38:24 for Orfeo Toolbox with doxygen 1.8.3.1