RGBGibbsPriorFilter applies Gibbs Prior model for the segmentation of MRF images. The core of the method is based on the minimization of a Gibbsian energy function. This energy function f can be divided into three part: f = f_1 + f_2 + f_3; f_1 is related to the object homogeneity, f_2 is related to the boundary smoothness, f_3 is related to the constraint of the observation (or the noise model). The two force components f_1 and f_3 are minimized by the GradientEnergy method while f_2 is minized by the GibbsTotalEnergy method. More...

#include <itkRGBGibbsPriorFilter.h>

Inheritance diagram for itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >:

Collaboration diagram for itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >:

List of all members.

Public Types
typedef ImageClassifierBase < TInputImage, TClassifiedImage >	ClassifierType
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef TInputImage::IndexType	IndexType
typedef Superclass::IndexValueType	IndexValueType
typedef TInputImage::ConstPointer	InputImageConstPointer
typedef InputImageFaceListType::iterator	InputImageFaceListIterator
typedef InputImageFacesCalculator::FaceListType	InputImageFaceListType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < TInputImage >	InputImageFacesCalculator
typedef ConstNeighborhoodIterator < TInputImage >	InputImageNeighborhoodIterator
typedef InputImageNeighborhoodIterator::RadiusType	InputImageNeighborhoodRadiusType
typedef Superclass::InputImagePixelType	InputImagePixelType
typedef TInputImage::Pointer	InputImagePointer
typedef Superclass::InputImageRegionConstIterator	InputImageRegionConstIterator
typedef Superclass::InputImageRegionIterator	InputImageRegionIterator
typedef TInputImage::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef TInputImage::PixelType	InputImageVecType
typedef TInputImage::PixelType	InputPixelType
typedef LabelledImageFaceListType::iterator	LabelledImageFaceListIterator
typedef LabelledImageFacesCalculator::FaceListType	LabelledImageFaceListType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < TClassifiedImage >	LabelledImageFacesCalculator
typedef TClassifiedImage::IndexType	LabelledImageIndexType
typedef NeighborhoodIterator < TClassifiedImage >	LabelledImageNeighborhoodIterator
typedef LabelledImageNeighborhoodIterator::RadiusType	LabelledImageNeighborhoodRadiusType
typedef TClassifiedImage::OffsetType	LabelledImageOffsetType
typedef Superclass::LabelledImagePixelType	LabelledImagePixelType
typedef TClassifiedImage::Pointer	LabelledImagePointer
typedef Superclass::LabelledImageRegionIterator	LabelledImageRegionIterator
typedef TClassifiedImage::RegionType	LabelledImageRegionType
typedef TClassifiedImage::Pointer	LabelledImageType
typedef unsigned int	LabelType
typedef vnl_matrix< double >	MatrixType
typedef TInputImage::SizeType	NeighborhoodRadiusType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImagePointer	OutputImagePointer
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef TClassifiedImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef RGBGibbsPriorFilter	Self
typedef TInputImage::SizeType	SizeType
enum	StopConditionType { MaximumNumberOfIterations = 1, ErrorTolerance }
typedef MRFImageFilter < TInputImage, TClassifiedImage >	Superclass
typedef TClassifiedImage::PixelType	TrainingImagePixelType
typedef TClassifiedImage::Pointer	TrainingImagePointer
typedef TClassifiedImage::Pointer	TrainingImageType

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 const bool &	GetAbortGenerateData ()
virtual double	GetCliqueWeight_1 () const
virtual double	GetCliqueWeight_2 () const
virtual double	GetCliqueWeight_3 () const
virtual double	GetCliqueWeight_4 () const
virtual double	GetCliqueWeight_5 () const
virtual double	GetCliqueWeight_6 () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual double	GetErrorTolerance () const
const InputImageType *	GetInput (void)
const InputImageType *	GetInput (unsigned int idx)
DataObjectPointerArray &	GetInputs ()
LabelledImageType	GetLabelledImage ()
virtual unsigned int	GetMaximumNumberOfIterations () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual std::vector< double >	GetMRFNeighborhoodWeight ()
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
const NeighborhoodRadiusType	GetNeighborhoodRadius () const
virtual unsigned int	GetNumberOfClasses () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
virtual const unsigned int &	GetNumberOfIterations ()
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual const int &	GetNumberOfThreads ()
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
OutputImageType *	GetOutput (void)
OutputImageType *	GetOutput (unsigned int idx)
DataObjectPointerArray &	GetOutputs ()
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual bool	GetReleaseDataFlag () const
virtual double	GetSmoothingFactor () const
virtual const StopConditionType &	GetStopCondition ()
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual DataObjectPointer	MakeOutput (unsigned int idx)
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	SetBoundaryGradient (unsigned int _arg)
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
virtual void	SetCliqueWeight_1 (double _arg)
virtual void	SetCliqueWeight_2 (double _arg)
virtual void	SetCliqueWeight_3 (double _arg)
virtual void	SetCliqueWeight_4 (double _arg)
virtual void	SetCliqueWeight_5 (double _arg)
virtual void	SetCliqueWeight_6 (double _arg)
virtual void	SetClusterSize (unsigned int _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetErrorTolerance (double _arg)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
void	SetLabelledImage (LabelledImageType LabelledImage)
virtual void	SetMaximumNumberOfIterations (unsigned int _arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetMRFNeighborhoodWeight (std::vector< double > BetaMatrix)
void	SetNeighborhoodRadius (const NeighborhoodRadiusType &)
void	SetNeighborhoodRadius (const unsigned long)
void	SetNeighborhoodRadius (const unsigned long *radiusArray)
virtual void	SetNumberOfClasses (unsigned int _arg)
virtual void	SetNumberOfThreads (int _arg)
virtual void	SetObjectLabel (LabelType _arg)
virtual void	SetObjectThreshold (double _arg)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual void	SetReleaseDataFlag (bool flag)
virtual void	SetSmoothingFactor (double _arg)
virtual void	SetStartPoint (IndexType _arg)
void	SetTrainingImage (TrainingImageType image)
	typedef (Concept::Convertible< unsigned int, LabelledImagePixelType >) UnsignedIntConvertibleToClassifiedCheck
	typedef (Concept::Convertible< LabelledImagePixelType, unsigned int >) ClassifiedConvertibleToUnsignedIntCheck
	typedef (Concept::Convertible< LabelledImagePixelType, int >) ClassifiedConvertibleToIntCheck
	typedef (Concept::Convertible< int, LabelledImagePixelType >) IntConvertibleToClassifiedCheck
	typedef (Concept::SameDimension< InputImageDimension, ClassifiedImageDimension >) SameDimensionCheck
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)

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	ClassifiedImageDimension = TClassifiedImage::ImageDimension
static const unsigned int	ImageDimension = TInputImage::ImageDimension
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension

Protected Types
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)>	InputToOutputRegionCopierType
typedef int	InternalReferenceCountType
typedef ImageRegionIterator < LabelStatusImageType >	LabelStatusImageIterator
typedef NeighborhoodIterator < LabelStatusImageType >	LabelStatusImageNeighborhoodIterator
typedef LabelStatusImageType::Pointer	LabelStatusImagePointer
typedef Image< int, itkGetStaticConstMacro(InputImageDimension) >	LabelStatusImageType
typedef LabelStatusImageType::IndexType	LabelStatusIndexType
typedef LabelStatusImageType::RegionType	LabelStatusRegionType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)>	OutputToInputRegionCopierType

Protected Member Functions
	RGBGibbsPriorFilter ()
	~RGBGibbsPriorFilter ()
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
virtual void	AfterThreadedGenerateData ()
void	Allocate ()
virtual void	AllocateOutputs ()
virtual void	ApplyGibbsLabeller ()
virtual void	ApplyGPImageFilter ()
virtual void	ApplyMRFImageFilter ()
virtual void	BeforeThreadedGenerateData ()
virtual void	CacheInputReleaseDataFlags ()
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void	DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual void	GenerateData ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
const DataObject *	GetInput (unsigned int idx) const
virtual const unsigned int &	GetNumberOfRequiredInputs ()
virtual const unsigned int &	GetNumberOfRequiredOutputs ()
const DataObject *	GetOutput (unsigned int idx) const
virtual void	MinimizeFunctional ()
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 (DataObject *input)
virtual void	RemoveOutput (DataObject *output)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetNthInput (unsigned int num, DataObject *input)
virtual void	SetNthOutput (unsigned int num, DataObject *output)
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)

Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Protected Attributes
TimeStamp	m_OutputInformationMTime
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
bool	m_Updating

Private Types
typedef TInputImage::SizeType	InputImageSizeType

Private Member Functions
	RGBGibbsPriorFilter (const Self &)
void	GenerateMediumImage ()
double	GibbsEnergy (unsigned int i, unsigned int k, unsigned int k1)
void	GibbsTotalEnergy (int i)
void	GreyScalarBoundary (LabelledImageIndexType Index3D)
unsigned int	LabelRegion (int i, int l, int change)
void	operator= (const Self &)
void	RegionEraser ()
int	Sim (int a, int b)

Private Attributes
unsigned int	m_BoundaryGradient
double	m_BoundaryWeight
ClassifierType::Pointer	m_ClassifierPtr
double	m_CliqueWeight_1
double	m_CliqueWeight_2
double	m_CliqueWeight_3
double	m_CliqueWeight_4
double	m_CliqueWeight_5
double	m_CliqueWeight_6
unsigned int	m_ClusterSize
double	m_GibbsPriorWeight
unsigned int	m_ImageDepth
unsigned int	m_ImageHeight
unsigned int	m_ImageWidth
InputImageConstPointer	m_InputImage
LabelledImageType	m_LabelledImage
LabelType *	m_LabelStatus
InputPixelType	m_LowPoint
unsigned int	m_MaximumNumberOfIterations
InputImagePointer	m_MediumImage
unsigned int	m_NumberOfClasses
LabelType	m_ObjectLabel
double	m_ObjectThreshold
int	m_RecursiveNumber
unsigned short *	m_Region
unsigned short *	m_RegionCount
IndexType	m_StartPoint
int	m_StartRadius
unsigned int	m_Temp
TrainingImageType	m_TrainingImage
unsigned int	m_VecDim

Detailed Description

template<class TInputImage, class TClassifiedImage>
class itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >

RGBGibbsPriorFilter applies Gibbs Prior model for the segmentation of MRF images. The core of the method is based on the minimization of a Gibbsian energy function. This energy function f can be divided into three part: f = f_1 + f_2 + f_3; f_1 is related to the object homogeneity, f_2 is related to the boundary smoothness, f_3 is related to the constraint of the observation (or the noise model). The two force components f_1 and f_3 are minimized by the GradientEnergy method while f_2 is minized by the GibbsTotalEnergy method.

Definition at line 47 of file itkRGBGibbsPriorFilter.h.

Member Typedef Documentation

template<class TInputImage , class TClassifiedImage >

typedef ImageClassifierBase<TInputImage,TClassifiedImage> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifierType

Type definitions for classifier to be used for the MRF lavbelling.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 95 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef SmartPointer<const Self> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ConstPointer

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 55 of file itkRGBGibbsPriorFilter.h.

typedef DataObject::Pointer itk::ImageSource< TClassifiedImage >::DataObjectPointer

inherited

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray

inherited

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType

inherited

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexType

Definition at line 99 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::IndexValueType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexValueType

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 69 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::ConstPointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageConstPointer

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 74 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef InputImageFaceListType::iterator itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListIterator

inherited

Definition at line 221 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef InputImageFacesCalculator::FaceListType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListType

inherited

Definition at line 218 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFacesCalculator

inherited

Definition at line 215 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ConstNeighborhoodIterator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodIterator

inherited

Input image neighborhood iterator and kernel size typedef

Definition at line 209 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef InputImageNeighborhoodIterator::RadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodRadiusType

inherited

Definition at line 212 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImagePixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePixelType

Types from superclass.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 61 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePointer

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 73 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImageRegionConstIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 65 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::InputImageRegionIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator

Type definition for the input image region iterator

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 66 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionType

inherited

Type definition for the input image region type.

Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.

Definition at line 155 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageSizeType

private

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 179 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageType

A smart pointer to the input image type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 72 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::PixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageVecType

The type of input pixel.

Definition at line 98 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::PixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputPixelType

Type definition for the input image pixel type.

Definition at line 77 of file itkRGBGibbsPriorFilter.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage, TClassifiedImage >::InputToOutputRegionCopierType

protectedinherited

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

Definition at line 161 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType

protectedinherited

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

Definition at line 137 of file itkLightObject.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageFaceListType::iterator itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListIterator

inherited

Definition at line 237 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageFacesCalculator::FaceListType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListType

inherited

Definition at line 234 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TClassifiedImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFacesCalculator

inherited

Definition at line 231 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType

Type definition for the classified image index type.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 87 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef NeighborhoodIterator< TClassifiedImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodIterator

inherited

Labelled image neighborhood interator typedef

Definition at line 225 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageNeighborhoodIterator::RadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodRadiusType

inherited

Definition at line 228 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::OffsetType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageOffsetType

inherited

Type definition for the classified image offset type.

Definition at line 188 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::LabelledImagePixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 68 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePointer

inherited

Type definitions for the labelled image. It is derived from the training image.

Definition at line 173 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::LabelledImageRegionIterator itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator

Type definition for the input image region iterator

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 67 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionType

inherited

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Definition at line 181 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageType

Type definitions for the labelled image. It is derived from the training image.

Definition at line 84 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ImageRegionIterator< LabelStatusImageType > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageIterator

protectedinherited

Definition at line 342 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef NeighborhoodIterator< LabelStatusImageType > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageNeighborhoodIterator

protectedinherited

Labelled status image neighborhood interator typedef

Definition at line 346 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageType::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImagePointer

protectedinherited

Definition at line 341 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Image<int,itkGetStaticConstMacro(InputImageDimension) > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageType

protectedinherited

Definition at line 338 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageType::IndexType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusIndexType

protectedinherited

Definition at line 339 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageType::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusRegionType

protectedinherited

Definition at line 340 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelType

Type used as identifier for the Labels

Warning:: -1 cannot be used as the identifier for unlabeled pixels the NumericTraits<>::max() value is used for indicating unlabeled pixels

Definition at line 92 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef vnl_matrix<double> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MatrixType

Specify the type of matrix to use.

Definition at line 156 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType itk::MRFImageFilter< TInputImage, TClassifiedImage >::NeighborhoodRadiusType

inherited

Radius typedef support.

Definition at line 205 of file itkMRFImageFilter.h.

typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputImage, TClassifiedImage >::OutputImagePixelType

inherited

Reimplemented from itk::ImageSource< TClassifiedImage >.

Definition at line 79 of file itkImageToImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef Superclass::OutputImagePointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::OutputImagePointer

inherited

Reimplemented from itk::ImageSource< TClassifiedImage >.

Definition at line 138 of file itkMRFImageFilter.h.

typedef Superclass::OutputImageRegionType itk::ImageToImageFilter< TInputImage, TClassifiedImage >::OutputImageRegionType

inherited

Superclass typedefs.

Reimplemented from itk::ImageSource< TClassifiedImage >.

Definition at line 75 of file itkImageToImageFilter.h.

typedef TClassifiedImage itk::ImageSource< TClassifiedImage >::OutputImageType

inherited

Some convenient typedefs.

Definition at line 65 of file itkImageSource.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage, TClassifiedImage >::OutputToInputRegionCopierType

protectedinherited

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

Definition at line 166 of file itkImageToImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef SmartPointer<Self> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Pointer

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 54 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef RGBGibbsPriorFilter itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Self

Standard "Self" typedef.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 52 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType itk::MRFImageFilter< TInputImage, TClassifiedImage >::SizeType

inherited

Size and value typedef support.

Definition at line 202 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef MRFImageFilter<TInputImage, TClassifiedImage> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Superclass

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 53 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::PixelType itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePixelType

inherited

Type definitions for the training image pixel type.

Definition at line 169 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePointer

inherited

Type definitions for the training image.

Definition at line 166 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingImageType

Type definitions for the training image.

Definition at line 80 of file itkRGBGibbsPriorFilter.h.

Member Enumeration Documentation

template<class TInputImage , class TClassifiedImage >

enum itk::MRFImageFilter::StopConditionType

inherited

Enumerator:

MaximumNumberOfIterations
ErrorTolerance

Definition at line 294 of file itkMRFImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RGBGibbsPriorFilter ( void )

protected

Definition at line 34 of file itkRGBGibbsPriorFilter.txx.

template<typename TInputImage , typename TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::~RGBGibbsPriorFilter ( )

protected

Definition at line 71 of file itkRGBGibbsPriorFilter.txx.

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RGBGibbsPriorFilter ( 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

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

Reimplemented in otb::ObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionPrecision, TCoordRep >, otb::DescriptorsListSampleGenerator< TInputImage, TVectorData, TListSample, TLabelListSample, TOutputPrecision, TCoordRep >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, and otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >.

Definition at line 144 of file itkProcessObject.cxx.

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 389 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 401 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 390 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

virtual void itk::ImageSource< TClassifiedImage >::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 264 of file itkImageSource.h.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Allocate ( )

protected

Allocate memory for labelled images.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 114 of file itkRGBGibbsPriorFilter.txx.

virtual void itk::ImageSource< TClassifiedImage >::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.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGibbsLabeller ( )

protectedvirtual

Definition at line 600 of file itkRGBGibbsPriorFilter.txx.

References itk::ImageRegionConstIterator< TImage >::GoToBegin().

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGPImageFilter ( )

protectedvirtual

Definition at line 559 of file itkRGBGibbsPriorFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::ApplyMRFImageFilter ( )

protectedvirtualinherited

Apply MRF Classifier. In this example the images are labelled using Iterated Conditional Mode algorithm by J. Besag, "On statistical analysis of dirty pictures," J. Royal Stat. Soc. B, vol. 48, pp. 259-302, 1986.

Definition at line 446 of file itkMRFImageFilter.txx.

virtual void itk::ImageSource< TClassifiedImage >::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 252 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 149 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 1050 of file itkProcessObject.cxx.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::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< TInputImage, TClassifiedImage >::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<class TInputImage , class TClassifiedImage >

virtual::itk::LightObject::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::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::MRFImageFilter< TInputImage, TClassifiedImage >.

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 242 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 88 of file itkLightObject.cxx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::DoNeighborhoodOperation	(	const InputImageNeighborhoodIterator &	imageIter,
		LabelledImageNeighborhoodIterator &	labelledIter,
		LabelStatusImageNeighborhoodIterator &	labelStatusIter
	)

protectedvirtualinherited

Definition at line 615 of file itkMRFImageFilter.txx.

References itk::Neighborhood< TPixel, VDimension, TAllocator >::GetCenterValue(), itk::ConstNeighborhoodIterator< TImage, TBoundaryCondition >::GetPixel(), itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetCenterPixel(), and itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetPixel().

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::EnlargeOutputRequestedRegion ( DataObject * output )

protectedvirtualinherited

EnlargeOutputRequestedRegion method.

Reimplemented from itk::ProcessObject.

Definition at line 133 of file itkMRFImageFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateData ( void )

protectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:: ThreadedGenerateData()

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 496 of file itkRGBGibbsPriorFilter.txx.

References itk::ImageConstIterator< TImage >::Get().

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::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 hierachy. 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::ImageToImageFilter< TInputImage, TClassifiedImage >.

Definition at line 112 of file itkMRFImageFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateMediumImage ( )

private

erase the small region.

Definition at line 100 of file itkRGBGibbsPriorFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::GenerateOutputInformation ( void )

protectedvirtualinherited

GenerateOutputInformation method.

Reimplemented from itk::ProcessObject.

Definition at line 151 of file itkMRFImageFilter.txx.

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< TScalarType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, and itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >.

Definition at line 846 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().

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_1 ( ) const

virtual

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_2 ( ) const

virtual

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_3 ( ) const

virtual

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_4 ( ) const

virtual

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_5 ( ) const

virtual

template<class TInputImage , class TClassifiedImage >

virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_6 ( ) const

virtual

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 asign 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 414 of file itkObject.cxx.

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

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

bool itk::Object::GetDebug ( ) const

inherited

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

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

template<class TInputImage , class TClassifiedImage >

virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetErrorTolerance ( ) const

virtualinherited

bool itk::Object::GetGlobalWarningDisplay ( )

staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

const InputImageType* itk::ImageToImageFilter< TInputImage, TClassifiedImage >::GetInput ( void )

inherited

const InputImageType* itk::ImageToImageFilter< TInputImage, TClassifiedImage >::GetInput ( unsigned int idx )

inherited

Method used internally for getting an input.

Reimplemented from itk::ProcessObject.

const DataObject * itk::ProcessObject::GetInput ( unsigned int idx ) const

protectedinherited

Reimplemented in otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >, otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >, otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >, otb::LabeledSampleLocalizationGenerator< TVectorData >, otb::ConcatenateVectorDataFilter< TVectorData >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

Definition at line 482 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetInputs ( )

inlineinherited

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 108 of file itkProcessObject.h.

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

template<class TInputImage , class TClassifiedImage >

LabelledImageType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetLabelledImage ( void )

inline

Get the labelled image.

Definition at line 108 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

virtual unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations ( ) const

virtual

Get the number of iterations of the Iterated Conditional Mode (ICM) algorithm.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void )

inherited

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 532 of file itkObject.cxx.

References NULL.

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void ) const

inherited

Returns:: A constant reference to this objects MetaDataDictionary.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 543 of file itkObject.cxx.

References NULL.

template<class TInputImage , class TClassifiedImage >

virtual std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetMRFNeighborhoodWeight ( )

inlinevirtualinherited

Definition at line 288 of file itkMRFImageFilter.h.

unsigned long itk::Object::GetMTime ( void ) const

virtualinherited

Return this objects modified time.

Return the modification for this object.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

MultiThreader* itk::ProcessObject::GetMultiThreader ( )

inlineinherited

Return the multithreader used by this class.

Definition at line 280 of file itkProcessObject.h.

template<class TInputImage , class TClassifiedImage >

virtual const char* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

const NeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNeighborhoodRadius ( ) const

inlineinherited

Get the neighborhood radius

Definition at line 271 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

virtual unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses ( ) const

virtual

Get the Number of classes.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const

inlineinherited

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 inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

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

template<class TInputImage , class TClassifiedImage >

virtual const unsigned int& itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNumberOfIterations ( )

virtualinherited

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const

inlineinherited

Reimplemented in otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, otb::ImageSeriesFileReaderBase< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >, and otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >.

Definition at line 135 of file itkProcessObject.h.

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

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( )

protectedvirtualinherited

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( )

protectedvirtualinherited

virtual const int& itk::ProcessObject::GetNumberOfThreads ( )

virtualinherited

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const

virtualinherited

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Get the number of specified inputs

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

Definition at line 112 of file itkProcessObject.cxx.

OutputImageType* itk::ImageSource< TClassifiedImage >::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.

OutputImageType* itk::ImageSource< TClassifiedImage >::GetOutput ( unsigned int idx )

inherited

Method used internally for getting an output.

Reimplemented from itk::ProcessObject.

const DataObject * itk::ProcessObject::GetOutput ( unsigned int idx ) const

protectedinherited

Definition at line 454 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetOutputs ( )

inlineinherited

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 133 of file itkProcessObject.h.

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

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(), itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress(), and itk::XMLFilterWatcher::ShowProgress().

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

inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

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

virtualinherited

bool itk::ProcessObject::GetReleaseDataFlag ( ) const

virtualinherited

Definition at line 512 of file itkProcessObject.cxx.

template<class TInputImage , class TClassifiedImage >

virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetSmoothingFactor ( ) const

virtualinherited

template<class TInputImage , class TClassifiedImage >

virtual const StopConditionType& itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetStopCondition ( )

virtualinherited

Get condition that stops the MRF filter (Number of Iterations / Error tolerance )

template<typename TInputImage , typename TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsEnergy	(	unsigned int	i,
		unsigned int	k,
		unsigned int	k1
	)

private

calculate the energy in each cluster.

Definition at line 370 of file itkRGBGibbsPriorFilter.txx.

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GibbsTotalEnergy ( int i )

private

weight for clique other than these calculate H_2.

Definition at line 252 of file itkRGBGibbsPriorFilter.txx.

static void itk::Object::GlobalWarningDisplayOff ( )

inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )

inlinestaticinherited

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

virtual void itk::ImageSource< TClassifiedImage >::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::GetNumberOfOutputs()). See the GraftOutput for general usage information.

virtual void itk::ImageSource< TClassifiedImage >::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).

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GreyScalarBoundary ( LabelledImageIndexType Index3D )

private

create the intermedium image.

Definition at line 135 of file itkRGBGibbsPriorFilter.txx.

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

inherited

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject & event )

inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

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 457 of file itkObject.cxx.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelRegion	(	int	i,
		int	l,
		int	change
	)

private

method to return 1 when a equal to b.

Definition at line 761 of file itkRGBGibbsPriorFilter.txx.

virtual DataObjectPointer itk::ImageSource< TClassifiedImage >::MakeOutput ( unsigned int idx )

virtualinherited

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

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MinimizeFunctional ( )

protectedvirtual

allocate memory space for the filter.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 568 of file itkRGBGibbsPriorFilter.txx.

References NULL.

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.

Definition at line 297 of file itkObject.cxx.

template<class TInputImage , class TClassifiedImage >

static Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::operator= ( const Self & )

private

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::PopBackInput ( )

virtualinherited

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

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::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 864 of file itkProcessObject.cxx.

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 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

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

protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

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

protectedinherited

Definition at line 478 of file itkObject.cxx.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

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

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

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 829 of file itkRGBGibbsPriorFilter.txx.

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

protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

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

virtualinherited

Send the requested region information back up the pipeline (to the filters that preceed 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::VTKImageImport< TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 766 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.

Propagate the ResetPipeline call

Definition at line 631 of file itkProcessObject.cxx.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::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< TInputImage, TClassifiedImage >::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 248 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::PushFrontInput ( const InputImageType * image )

virtualinherited

void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::PushFrontInput ( const DataObject * input )

inlineprotectedvirtualinherited

Reimplemented from itk::ProcessObject.

Definition at line 250 of file itkImageToImageFilter.h.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RegionEraser ( )

private

help to erase the small region.

Definition at line 684 of file itkRGBGibbsPriorFilter.txx.

References itk::ImageConstIterator< TImage >::Get().

void itk::Object::Register ( ) const

virtualinherited

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

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( )

virtualinherited

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( )

virtualinherited

void itk::ProcessObject::ReleaseDataFlagOff ( )

inlineinherited

Definition at line 256 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( )

inlineinherited

Definition at line 255 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()

Definition at line 886 of file itkProcessObject.cxx.

Referenced by itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs().

void itk::Object::RemoveAllObservers ( )

inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::ProcessObject::RemoveInput ( DataObject * input )

protectedvirtualinherited

Remove an input.

Removes the first occurence of the given OutputObject from the inputs to this ProcessObject. If it's the last object on the list, shortens the list.

Definition at line 173 of file itkProcessObject.cxx.

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

inherited

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

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

void itk::ProcessObject::RemoveOutput ( DataObject * output )

protectedvirtualinherited

Definition at line 294 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 621 of file itkProcessObject.cxx.

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

void itk::ProcessObject::RestoreInputReleaseDataFlags ( )

protectedvirtualinherited

Restore the cached input ReleaseDataFlags.

Definition at line 1075 of file itkProcessObject.cxx.

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.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetBoundaryGradient ( unsigned int _arg )

virtual

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetClassifier ( typename ClassifierType::Pointer ptrToClassifier )

Set the pointer to the classifer being used.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 222 of file itkRGBGibbsPriorFilter.txx.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_1 ( double _arg )

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_2 ( double _arg )

virtual

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_3 ( double _arg )

virtual

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_4 ( double _arg )

virtual

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_5 ( double _arg )

virtual

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetCliqueWeight_6 ( double _arg )

virtual

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetClusterSize ( unsigned int _arg )

virtual

Set the threshold for the object size.

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 275 of file itkObject.cxx.

template<class TInputImage , class TClassifiedImage >

virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetErrorTolerance ( double _arg )

virtualinherited

Set/Get the error tollerance level which is used as a threshold to quit the iterations

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 370 of file itkObject.cxx.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::SetInput ( const InputImageType * image )

virtualinherited

Set/Get the image input of this process object.

virtual void itk::ImageToImageFilter< TInputImage, TClassifiedImage >::SetInput	(	unsigned	int,
		const TInputImage *	image
	)

virtualinherited

Connect one of the operands for pixel-wise addition

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetLabelledImage ( LabelledImageType LabelledImage )

Set the labelled image.

Definition at line 90 of file itkRGBGibbsPriorFilter.txx.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetMaximumNumberOfIterations ( unsigned int _arg )

virtual

Set/Get the number of iteration of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs )

inherited

Returns:: Set the MetaDataDictionary

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetMRFNeighborhoodWeight ( std::vector< double > BetaMatrix )

virtualinherited

Set the weighting parameters (used in MRF algorithms). This is a function allowing the users to set the weight matrix by providing a a 1D array of weights. The default implementation supports a 3 x 3 x 3 kernel. The labeler needs to be extended for a different kernel size.

Definition at line 352 of file itkMRFImageFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const NeighborhoodRadiusType & radius )

inherited

Set the neighborhood radius

Definition at line 268 of file itkMRFImageFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const unsigned long radiusValue )

inherited

Sets the radius for the neighborhood, calculates size from the radius, and allocates storage.

Definition at line 237 of file itkMRFImageFilter.txx.

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const unsigned long * radiusArray )

inherited

Definition at line 252 of file itkMRFImageFilter.txx.

void itk::ProcessObject::SetNthInput	(	unsigned int	idx,
		DataObject *	input
	)

protectedvirtualinherited

Protected methods for setting 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.

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Definition at line 210 of file itkProcessObject.cxx.

void itk::ProcessObject::SetNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

protectedvirtualinherited

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

Set an output of this filter. This method specifically does not do a Register()/UnRegister() because of the desire to break the reference counting loop.

Definition at line 333 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::SimplexMeshToTriangleMeshFilter< TInputMesh, TOutputMesh >::CreateTriangles(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod(), itk::ImageSource< TOutputImage >::ImageSource(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::ImageToListGenerator(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::ImageToSpatialObjectRegistrationMethod(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::InsertNewCells(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::ListSampleToBalancedListSampleFilter(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MinimumMaximumImageFilter< TInputImage >::MinimumMaximumImageFilter(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::MinMaxAttributesLabelMapFilter(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::MultiResolutionImageRegistrationMethod(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), itk::PathSource< TOutputPath >::PathSource(), otb::PersistentCompareImageFilter< TInputImage >::PersistentCompareImageFilter(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >::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< TScalarType, TImageDimension >::Relabeler(), otb::SailModel::SailModel(), itk::watershed::Segmenter< TInputImage >::Segmenter(), itk::watershed::SegmentTreeGenerator< TScalarType >::SegmentTreeGenerator(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::MeshSource< TOutputMesh >::SetOutput(), itk::watershed::EquivalenceRelabeler< TScalarType, 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::StatisticsImageFilter< TInputImage >::StatisticsImageFilter(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), 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<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses ( unsigned int _arg )

virtual

Set the Number of classes.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num )

protectedinherited

Called to allocate the input array. Copies old inputs.

Called by constructor to set up input array.

Definition at line 96 of file itkProcessObject.cxx.

Referenced by 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().

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num )

protectedinherited

Called to allocate the output array. Copies old outputs.

Called by constructor to set up output array.

Definition at line 424 of file itkProcessObject.cxx.

Referenced by otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), 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::SetNumberOfRequiredInputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), 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 ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), and itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader().

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg )

virtualinherited

Get/Set the number of threads to create when executing.

Referenced by itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos(), and itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::PrecalculateChange().

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetObjectLabel ( LabelType _arg )

virtual

Set the label for the object region.

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetObjectThreshold ( double _arg )

virtual

virtual void itk::ProcessObject::SetProgress ( float _arg )

virtualinherited

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.

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 347 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 528 of file itkProcessObject.cxx.

template<class TInputImage , class TClassifiedImage >

virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetSmoothingFactor ( double _arg )

virtualinherited

Set/Get the degree of smoothing desired

template<class TInputImage , class TClassifiedImage >

virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetStartPoint ( IndexType _arg )

virtual

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetTrainingImage ( TrainingImageType image )

Set the image required for training type classifiers.

Definition at line 232 of file itkRGBGibbsPriorFilter.txx.

template<typename TInputImage , typename TClassifiedImage >

int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Sim	(	int	a,
		int	b
	)

private

Definition at line 241 of file itkRGBGibbsPriorFilter.txx.

virtual int itk::ImageSource< TClassifiedImage >::SplitRequestedRegion	(	int	i,
		int	num,
		OutputImageRegionType &	splitRegion
	)

protectedvirtualinherited

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "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".

virtual void itk::ImageSource< TClassifiedImage >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		int	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< TClassifiedImage >::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<class TInputImage , class TClassifiedImage >

itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef ( Concept::Convertible< unsigned int, LabelledImagePixelType > )

inherited

Begin concept checking This class requires UnsignedIntConvertibleToClassifiedCheck in the form of (Concept::Convertible<unsigned int, LabelledImagePixelType>)

template<class TInputImage , class TClassifiedImage >

itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef ( Concept::Convertible< LabelledImagePixelType, unsigned int > )

inherited

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

template<class TInputImage , class TClassifiedImage >

itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef ( Concept::Convertible< LabelledImagePixelType, int > )

inherited

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

template<class TInputImage , class TClassifiedImage >

itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef ( Concept::Convertible< int, LabelledImagePixelType > )

inherited

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

template<class TInputImage , class TClassifiedImage >

itk::MRFImageFilter< TInputImage, TClassifiedImage >::typedef ( Concept::SameDimension< InputImageDimension, ClassifiedImageDimension > )

inherited

This class requires SameDimensionCheck in the form of (Concept::SameDimension<InputImageDimension, ClassifiedImageDimension>)

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 324 of file itkObject.cxx.

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

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.

Definition at line 611 of file itkProcessObject.cxx.

Referenced by 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::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >::RunSegmentOneStep().

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().

Definition at line 1120 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.

 Count the number of required inputs which have been assigned

 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::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 908 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputInformation ( void )

virtualinherited

Update the information decribing 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.

 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.

   Keep track of the last time GenerateOutputInformation() was called

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, and itk::VTKImageImport< TOutputImage >.

Definition at line 664 of file itkProcessObject.cxx.

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

Referenced by itk::VTKImageExportBase::UpdateInformationCallback().

void itk::ProcessObject::UpdateProgress ( float amount )

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 500 of file itkProcessObject.cxx.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().

Member Data Documentation

template<class TInputImage , class TClassifiedImage >

const unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::ClassifiedImageDimension = TClassifiedImage::ImageDimension

staticinherited

Labelled Image dimension

Definition at line 196 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

const unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ImageDimension = TInputImage::ImageDimension

static

Extract the input image dimension.

Definition at line 136 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

const unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageDimension = TInputImage::ImageDimension

staticinherited

Image dimension

Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.

Definition at line 163 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryGradient

private

Definition at line 189 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryWeight

private

the threshold for the existence of a boundary.

Definition at line 190 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

ClassifierType::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClassifierPtr

private

number of the iteration.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 187 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_1

private

for region erase. weights for different clique configuration.

Definition at line 213 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_2

private

weight for cliques that v/h smooth boundayr

Definition at line 214 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_3

private

weight for clique that has an intermadiate smooth boundary

Definition at line 215 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_4

private

weight for clique that has a diagonal smooth boundary

Definition at line 216 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_5

private

weight for clique consists only object pixels

Definition at line 217 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_6

private

weight for clique consists only background pixels

Definition at line 218 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClusterSize

private

Definition at line 204 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_GibbsPriorWeight

private

weight for H_1

Definition at line 191 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageDepth

private

Definition at line 203 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageHeight

private

image size.

Definition at line 202 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageWidth

private

the seed of object

Definition at line 201 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

InputImageConstPointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_InputImage

private

Definition at line 181 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelledImageType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_LabelledImage

private

image to train the filter.

Definition at line 183 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelType* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_LabelStatus

private

number of SA iterations.

Definition at line 194 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

InputPixelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_LowPoint

private

the channel number in the image.

Definition at line 207 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_MaximumNumberOfIterations

private

the number of class need to be classified.

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 185 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

InputImagePointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_MediumImage

private

array for the state of each pixel.

Definition at line 196 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_NumberOfClasses

private

output

Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

Definition at line 184 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectLabel

private

region size smaller than the threshold will be erased.

Definition at line 205 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectThreshold

private

calculate H_1.

Definition at line 232 of file itkRGBGibbsPriorFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime

protectedinherited

Time when GenerateOutputInformation was last called.

Definition at line 421 of file itkProcessObject.h.

template<class TInputImage , class TClassifiedImage >

int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_RecursiveNumber

private

define the start region of the object.

Definition at line 193 of file itkRGBGibbsPriorFilter.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount

mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock

mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

template<class TInputImage , class TClassifiedImage >

unsigned short* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_Region

private

the point give lowest value of H-1 in neighbor.

Definition at line 209 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned short* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_RegionCount

private

for region erase.

Definition at line 210 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartPoint

private

for SA algo.

Definition at line 199 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartRadius

private

weight for H_2

Definition at line 192 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_Temp

private

the medium image to store intermedium result

Definition at line 198 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

TrainingImageType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_TrainingImage

private

the input

Definition at line 182 of file itkRGBGibbsPriorFilter.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.

Reimplemented in otb::ImageViewerBase< TPixel, TLabel >, and otb::HistogramAndTransferFunctionWidget< THistogram, TPixel >.

Definition at line 418 of file itkProcessObject.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_VecDim

private

the label for object region.

Definition at line 206 of file itkRGBGibbsPriorFilter.h.

const unsigned int itk::ImageToImageFilter< TInputImage, TClassifiedImage >::OutputImageDimension

staticinherited

ImageDimension constant

Reimplemented from itk::ImageSource< TClassifiedImage >.

Definition at line 92 of file itkImageToImageFilter.h.

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

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Private Types

Private Member Functions

Private Attributes

Detailed Description

template<class TInputImage, class TClassifiedImage> class itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TInputImage, class TClassifiedImage>
class itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >