#include <itkRGBGibbsPriorFilter.h>

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

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

Public Types
using	ClassifiedImageType = TClassifiedImage

using	ClassifierType = ImageClassifierBase< TInputImage, TClassifiedImage >

using	ConstPointer = SmartPointer< const Self >

using	IndexType = typename TInputImage::IndexType

using	IndexValueType = typename Superclass::IndexValueType

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImagePixelType = typename Superclass::InputImagePixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageRegionConstIterator = typename Superclass::InputImageRegionConstIterator

using	InputImageRegionIterator = typename Superclass::InputImageRegionIterator

using	InputImageType = TInputImage

using	InputImageVecType = typename TInputImage::PixelType

using	InputPixelType = typename TInputImage::PixelType

using	LabelledImageIndexType = typename TClassifiedImage::IndexType

using	LabelledImagePixelType = typename Superclass::LabelledImagePixelType

using	LabelledImageRegionIterator = typename Superclass::LabelledImageRegionIterator

using	LabelledImageType = typename TClassifiedImage::Pointer

using	LabelType = unsigned int

using	Pointer = SmartPointer< Self >

using	Self = RGBGibbsPriorFilter

using	Superclass = MRFImageFilter< TInputImage, TClassifiedImage >

using	TrainingImageType = typename TClassifiedImage::Pointer

Public Types inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
using	ClassifierType = ImageClassifierBase< TInputImage, TClassifiedImage >

using	ConstPointer = SmartPointer< const Self >

using	IndexValueType = typename LabelledImageIndexType::IndexValueType

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImageFaceListIterator = typename InputImageFaceListType::iterator

using	InputImageFaceListType = typename InputImageFacesCalculator::FaceListType

using	InputImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage >

using	InputImageNeighborhoodIterator = ConstNeighborhoodIterator< TInputImage >

using	InputImageNeighborhoodRadiusType = typename InputImageNeighborhoodIterator::RadiusType

using	InputImagePixelType = typename TInputImage::PixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageRegionConstIterator = ImageRegionConstIterator< TInputImage >

using	InputImageRegionIterator = ImageRegionIterator< TInputImage >

using	InputImageRegionType = typename TInputImage::RegionType

using	InputImageType = TInputImage

using	LabelledImageFaceListIterator = typename LabelledImageFaceListType::iterator

using	LabelledImageFaceListType = typename LabelledImageFacesCalculator::FaceListType

using	LabelledImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TClassifiedImage >

using	LabelledImageIndexType = typename TClassifiedImage::IndexType

using	LabelledImageNeighborhoodIterator = NeighborhoodIterator< TClassifiedImage >

using	LabelledImageNeighborhoodRadiusType = typename LabelledImageNeighborhoodIterator::RadiusType

using	LabelledImageOffsetType = typename TClassifiedImage::OffsetType

using	LabelledImagePixelType = typename TClassifiedImage::PixelType

using	LabelledImagePointer = typename TClassifiedImage::Pointer

using	LabelledImageRegionIterator = ImageRegionIterator< TClassifiedImage >

using	LabelledImageRegionType = typename TClassifiedImage::RegionType

using	NeighborhoodRadiusType = typename TInputImage::SizeType

using	OutputImagePointer = typename Superclass::OutputImagePointer

using	Pointer = SmartPointer< Self >

using	Self = MRFImageFilter

using	SizeType = typename TInputImage::SizeType

using	Superclass = ImageToImageFilter< TInputImage, TClassifiedImage >

using	TrainingImagePixelType = typename TClassifiedImage::PixelType

using	TrainingImagePointer = typename TClassifiedImage::Pointer

using	MRFStopEnum = MRFImageFilterEnums::MRFStop

Public Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

using	Pointer = SmartPointer< Self >

using	Self = ImageToImageFilter

using	Superclass = ImageSource< TClassifiedImage >

Public Types inherited from itk::ImageSource< TClassifiedImage >
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = TClassifiedImage

using	Pointer = SmartPointer< Self >

using	Self = ImageSource

using	Superclass = ProcessObject

Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const

LabelledImageType	GetLabelledImage ()

virtual const char *	GetNameOfClass () const

void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)

void	SetLabelledImage (LabelledImageType image)

void	SetTrainingImage (TrainingImageType image)

Public Member Functions inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)

virtual void	SetErrorTolerance (double _arg)

virtual double	GetErrorTolerance () const

virtual void	SetSmoothingFactor (double _arg)

virtual double	GetSmoothingFactor () const

void	SetNeighborhoodRadius (const NeighborhoodRadiusType &)

void	SetNeighborhoodRadius (const SizeValueType)

void	SetNeighborhoodRadius (const SizeValueType *radiusArray)

const NeighborhoodRadiusType	GetNeighborhoodRadius () const

virtual void	SetMRFNeighborhoodWeight (std::vector< double > betaMatrix)

virtual std::vector< double >	GetMRFNeighborhoodWeight ()

virtual const MRFStopEnum &	GetStopCondition () const

virtual const unsigned int &	GetNumberOfIterations () const

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetInput (const InputImageType *input)

virtual void	SetInput (unsigned int, const TInputImage *image)

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< TClassifiedImage >
OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

OutputImageType *	GetOutput (unsigned int idx)

virtual void	GraftOutput (DataObject *graft)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)

virtual void	GraftNthOutput (unsigned int idx, DataObject *graft)

ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override

ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

virtual void	SetReleaseDataFlag (bool val)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

MultiThreaderType *	GetMultiThreader () const

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	PrepareOutputs ()

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

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

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
static void	SetGlobalDefaultDirectionTolerance (double)

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static double	GetGlobalDefaultCoordinateTolerance ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

using	MatrixType = vnl_matrix< double >

using	InputImageSizeType = typename TInputImage::SizeType

static constexpr unsigned int	ImageDimension = TInputImage::ImageDimension

ClassifierType::Pointer	m_ClassifierPtr

unsigned int	m_ImageHeight { 0 }

unsigned int	m_ImageDepth { 0 }

int unsigned int void void void double	m_ObjectThreshold { 5.0 }

void	SetNumberOfClasses (const unsigned int numberOfClasses) override

unsigned int	GetNumberOfClasses () const override

void	SetMaximumNumberOfIterations (const unsigned int numberOfIterations) override

unsigned int	GetMaximumNumberOfIterations () const override

virtual void	SetClusterSize (unsigned int _arg)

virtual void	SetObjectLabel (LabelType _arg)

virtual void	SetStartPoint (IndexType _arg)

virtual void	SetBoundaryGradient (unsigned int _arg)

virtual void	SetObjectThreshold (double _arg)

virtual void	SetCliqueWeight_1 (double _arg)

virtual double	GetCliqueWeight_1 () const

virtual void	SetCliqueWeight_2 (double _arg)

virtual double	GetCliqueWeight_2 () const

virtual void	SetCliqueWeight_3 (double _arg)

virtual double	GetCliqueWeight_3 () const

virtual void	SetCliqueWeight_4 (double _arg)

virtual double	GetCliqueWeight_4 () const

virtual void	SetCliqueWeight_5 (double _arg)

virtual double	GetCliqueWeight_5 () const

virtual void	SetCliqueWeight_6 (double _arg)

virtual double	GetCliqueWeight_6 () const

	RGBGibbsPriorFilter ()

	~RGBGibbsPriorFilter () override

void	PrintSelf (std::ostream &os, Indent indent) const override

void void	MinimizeFunctional () override

void	GenerateData () override

virtual void	ApplyGibbsLabeller ()

virtual void	ApplyGPImageFilter ()

void	GibbsTotalEnergy (int i)

double	GibbsEnergy (unsigned int i, unsigned int k, unsigned int k1)

Additional Inherited Members
Static Public Attributes inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
static constexpr unsigned int	ClassifiedImageDimension = TClassifiedImage::ImageDimension

static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
static constexpr unsigned int	InputImageDimension

static constexpr unsigned int	OutputImageDimension

Static Public Attributes inherited from itk::ImageSource< TClassifiedImage >
static constexpr unsigned int	OutputImageDimension

Protected Types inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
using	LabelStatusImageType = Image< int, Self::InputImageDimension >

using	LabelStatusIndexType = typename LabelStatusImageType::IndexType

using	LabelStatusRegionType = typename LabelStatusImageType::RegionType

using	LabelStatusImagePointer = typename LabelStatusImageType::Pointer

using	LabelStatusImageIterator = ImageRegionIterator< LabelStatusImageType >

using	LabelStatusImageNeighborhoodIterator = NeighborhoodIterator< LabelStatusImageType >

Protected Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >

using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >

Protected Member Functions inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
	MRFImageFilter ()

	~MRFImageFilter () override=default

void	Allocate ()

virtual void	ApplyMRFImageFilter ()

virtual void	DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)

void	GenerateInputRequestedRegion () override

void	EnlargeOutputRequestedRegion (DataObject *) override

void	GenerateOutputInformation () override

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
void	PushBackInput (const DataObject *input) override

void	PushFrontInput (const DataObject *input) override

	ImageToImageFilter ()

	~ImageToImageFilter () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

void	VerifyInputInformation () ITKv5_CONST override

void	GenerateInputRequestedRegion () override

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

Protected Member Functions inherited from itk::ImageSource< TClassifiedImage >
	ImageSource ()

	~ImageSource () override=default

void	GenerateData () override

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual void	ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

virtual void	AfterThreadedGenerateData ()

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

Protected Member Functions inherited from itk::ProcessObject
	ProcessObject ()

	~ProcessObject () override

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	AddInput (DataObject *input)

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

virtual void	SetPrimaryInput (DataObject *object)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual void	SetPrimaryOutput (DataObject *object)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

virtual void	AddOutput (DataObject *output)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

virtual void	VerifyPreconditions () ITKv5_CONST

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	RestoreInputReleaseDataFlags ()

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

Protected Member Functions inherited from itk::Object
	Object ()

	~Object () override

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

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

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

virtual	~LightObject ()

Static Protected Member Functions inherited from itk::ImageSource< TClassifiedImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< TClassifiedImage >
bool	m_DynamicMultiThreading

Protected Attributes inherited from itk::ProcessObject
bool	m_Updating

TimeStamp	m_OutputInformationMTime

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

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

The 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 minimized by the GibbsTotalEnergy method.

This filter only works with 3D images.

Examples: Examples/Segmentation/GibbsPriorImageFilter1.cxx.

Definition at line 48 of file itkRGBGibbsPriorFilter.h.

Member Typedef Documentation

◆ ClassifiedImageType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifiedImageType = TClassifiedImage

Type definitions for the training image.

Definition at line 83 of file itkRGBGibbsPriorFilter.h.

◆ ClassifierType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ClassifierType = ImageClassifierBase<TInputImage, TClassifiedImage>

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

Definition at line 99 of file itkRGBGibbsPriorFilter.h.

◆ ConstPointer

template<typename TInputImage , typename TClassifiedImage >

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

Definition at line 58 of file itkRGBGibbsPriorFilter.h.

◆ IndexType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexType = typename TInputImage::IndexType

Definition at line 103 of file itkRGBGibbsPriorFilter.h.

◆ IndexValueType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::IndexValueType = typename Superclass::IndexValueType

Definition at line 72 of file itkRGBGibbsPriorFilter.h.

◆ InputImageConstPointer

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageConstPointer = typename TInputImage::ConstPointer

Definition at line 77 of file itkRGBGibbsPriorFilter.h.

◆ InputImagePixelType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePixelType = typename Superclass::InputImagePixelType

Types from superclass.

Definition at line 67 of file itkRGBGibbsPriorFilter.h.

◆ InputImagePointer

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImagePointer = typename TInputImage::Pointer

Definition at line 76 of file itkRGBGibbsPriorFilter.h.

◆ InputImageRegionConstIterator

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator = typename Superclass::InputImageRegionConstIterator

Definition at line 68 of file itkRGBGibbsPriorFilter.h.

◆ InputImageRegionIterator

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator = typename Superclass::InputImageRegionIterator

Definition at line 69 of file itkRGBGibbsPriorFilter.h.

◆ InputImageSizeType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageSizeType = typename TInputImage::SizeType

private

Specify the type of matrix to use.

Definition at line 230 of file itkRGBGibbsPriorFilter.h.

◆ InputImageType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageType = TInputImage

A smart pointer to the input image type.

Definition at line 75 of file itkRGBGibbsPriorFilter.h.

◆ InputImageVecType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputImageVecType = typename TInputImage::PixelType

The type of input pixel.

Definition at line 102 of file itkRGBGibbsPriorFilter.h.

◆ InputPixelType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::InputPixelType = typename TInputImage::PixelType

Type definition for the input image pixel type.

Definition at line 80 of file itkRGBGibbsPriorFilter.h.

◆ LabelledImageIndexType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType = typename TClassifiedImage::IndexType

Type definition for the classified image index type.

Definition at line 91 of file itkRGBGibbsPriorFilter.h.

◆ LabelledImagePixelType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType = typename Superclass::LabelledImagePixelType

Definition at line 71 of file itkRGBGibbsPriorFilter.h.

◆ LabelledImageRegionIterator

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator = typename Superclass::LabelledImageRegionIterator

Definition at line 70 of file itkRGBGibbsPriorFilter.h.

◆ LabelledImageType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageType = typename TClassifiedImage::Pointer

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

Definition at line 88 of file itkRGBGibbsPriorFilter.h.

◆ LabelType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelType = unsigned int

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 96 of file itkRGBGibbsPriorFilter.h.

◆ MatrixType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MatrixType = vnl_matrix<double>

Specify the type of matrix to use.

Definition at line 197 of file itkRGBGibbsPriorFilter.h.

◆ Pointer

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Pointer = SmartPointer<Self>

Definition at line 57 of file itkRGBGibbsPriorFilter.h.

◆ Self

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Self = RGBGibbsPriorFilter

Standard "Self" type alias.

Definition at line 55 of file itkRGBGibbsPriorFilter.h.

◆ Superclass

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::Superclass = MRFImageFilter<TInputImage, TClassifiedImage>

Definition at line 56 of file itkRGBGibbsPriorFilter.h.

◆ TrainingImageType

template<typename TInputImage , typename TClassifiedImage >

using itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::TrainingImageType = typename TClassifiedImage::Pointer

Definition at line 84 of file itkRGBGibbsPriorFilter.h.

Constructor & Destructor Documentation

◆ RGBGibbsPriorFilter()

template<typename TInputImage , typename TClassifiedImage >

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

protected

Specify the type of matrix to use.

◆ ~RGBGibbsPriorFilter()

template<typename TInputImage , typename TClassifiedImage >

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

overrideprotected

Specify the type of matrix to use.

Member Function Documentation

◆ ApplyGibbsLabeller()

template<typename TInputImage , typename TClassifiedImage >

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

protectedvirtual

Specify the type of matrix to use.

◆ ApplyGPImageFilter()

template<typename TInputImage , typename TClassifiedImage >

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

protectedvirtual

Specify the type of matrix to use.

◆ CreateAnother()

template<typename TInputImage , typename TClassifiedImage >

virtual::itk::LightObject::Pointer itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::CreateAnother ( ) 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 >.

◆ GenerateData()

template<typename TInputImage , typename TClassifiedImage >

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

overrideprotectedvirtual

Specify the type of matrix to use.

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

◆ GetCliqueWeight_1()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetCliqueWeight_2()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetCliqueWeight_3()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetCliqueWeight_4()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetCliqueWeight_5()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetCliqueWeight_6()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ GetLabelledImage()

template<typename TInputImage , typename TClassifiedImage >

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

inline

Get the labelled image.

Definition at line 115 of file itkRGBGibbsPriorFilter.h.

◆ GetMaximumNumberOfIterations()

template<typename TInputImage , typename TClassifiedImage >

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

inlineoverridevirtual

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

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

Definition at line 161 of file itkRGBGibbsPriorFilter.h.

◆ GetNameOfClass()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Run-time type information (and related methods).

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

◆ GetNumberOfClasses()

template<typename TInputImage , typename TClassifiedImage >

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

inlineoverridevirtual

Get the Number of classes.

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

Definition at line 139 of file itkRGBGibbsPriorFilter.h.

◆ GibbsEnergy()

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.

◆ GibbsTotalEnergy()

template<typename TInputImage , typename TClassifiedImage >

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

private

region size smaller than the threshold will be erased. the label for object region. the channel number in the image. the point give lowest value of H-1 in neighbor. for region erase. for region erase. weights for different clique configuration. weight for cliques that v/h smooth boundary weight for clique that has an intermadiate smooth boundary weight for clique that has a diagonal smooth boundary weight for clique consists only object pixels weight for clique consists only background pixels weight for clique other than these calculate H_2.

◆ MinimizeFunctional()

template<typename TInputImage , typename TClassifiedImage >

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

overrideprotectedvirtual

allocate memory space for the filter.

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

◆ New()

template<typename TInputImage , typename TClassifiedImage >

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

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TClassifiedImage >

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

overrideprotectedvirtual

Specify the type of matrix to use.

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

◆ SetBoundaryGradient()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetClassifier()

template<typename TInputImage , typename TClassifiedImage >

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

Set the pointer to the classifier being used.

◆ SetCliqueWeight_1()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

set and get the value for Clique weights

◆ SetCliqueWeight_2()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetCliqueWeight_3()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetCliqueWeight_4()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetCliqueWeight_5()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetCliqueWeight_6()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetClusterSize()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Set the threshold for the object size.

◆ SetLabelledImage()

template<typename TInputImage , typename TClassifiedImage >

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

Set the labelled image.

◆ SetMaximumNumberOfIterations()

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetMaximumNumberOfIterations ( const unsigned int numberOfIterations )

inlineoverridevirtual

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 >.

Definition at line 147 of file itkRGBGibbsPriorFilter.h.

◆ SetNumberOfClasses()

template<typename TInputImage , typename TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses ( const unsigned int numberOfClasses )

inlineoverridevirtual

Set the Number of classes.

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

Definition at line 126 of file itkRGBGibbsPriorFilter.h.

◆ SetObjectLabel()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Set the label for the object region.

◆ SetObjectThreshold()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetStartPoint()

template<typename TInputImage , typename TClassifiedImage >

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

virtual

Specify the type of matrix to use.

◆ SetTrainingImage()

template<typename TInputImage , typename TClassifiedImage >

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

Set the image required for training type classifiers.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TClassifiedImage >

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

staticconstexpr

Extract the input image dimension.

Definition at line 173 of file itkRGBGibbsPriorFilter.h.

◆ m_ClassifierPtr

template<typename TInputImage , typename TClassifiedImage >

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

private

the input image to train the filter. output the number of class need to be classified. number of the iteration.

Definition at line 246 of file itkRGBGibbsPriorFilter.h.

◆ m_ImageDepth

template<typename TInputImage , typename TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageDepth { 0 }

private

Specify the type of matrix to use.

Definition at line 270 of file itkRGBGibbsPriorFilter.h.

◆ m_ImageHeight

template<typename TInputImage , typename TClassifiedImage >

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ImageHeight { 0 }

private

the threshold for the existence of a boundary. weight for H_1 weight for H_2 define the start region of the object. number of SA iterations. array for the state of each pixel. the medium image to store intermedium result for SA algo. the seed of object image size.

Definition at line 269 of file itkRGBGibbsPriorFilter.h.

◆ m_ObjectThreshold

template<typename TInputImage , typename TClassifiedImage >

int unsigned int void void void double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectThreshold { 5.0 }

private

method to return 1 when a equal to b. help to erase the small region. erase the small region. create the intermedium image. calculate H_1.

Definition at line 329 of file itkRGBGibbsPriorFilter.h.

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

itkRGBGibbsPriorFilter.h

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

◆ ClassifiedImageType

◆ ClassifierType

◆ ConstPointer

◆ IndexType

◆ IndexValueType

◆ InputImageConstPointer

◆ InputImagePixelType

◆ InputImagePointer

◆ InputImageRegionConstIterator

◆ InputImageRegionIterator

◆ InputImageSizeType

◆ InputImageType

◆ InputImageVecType

◆ InputPixelType

◆ LabelledImageIndexType

◆ LabelledImagePixelType

◆ LabelledImageRegionIterator

◆ LabelledImageType

◆ LabelType

◆ MatrixType

◆ Pointer

◆ Self

◆ Superclass

◆ TrainingImageType

Constructor & Destructor Documentation

◆ RGBGibbsPriorFilter()

◆ ~RGBGibbsPriorFilter()

Member Function Documentation

◆ ApplyGibbsLabeller()

◆ ApplyGPImageFilter()

◆ CreateAnother()

◆ GenerateData()

◆ GetCliqueWeight_1()

◆ GetCliqueWeight_2()

◆ GetCliqueWeight_3()

◆ GetCliqueWeight_4()

◆ GetCliqueWeight_5()

◆ GetCliqueWeight_6()

◆ GetLabelledImage()

◆ GetMaximumNumberOfIterations()

◆ GetNameOfClass()

◆ GetNumberOfClasses()

◆ GibbsEnergy()

◆ GibbsTotalEnergy()

◆ MinimizeFunctional()

◆ New()

◆ PrintSelf()

◆ SetBoundaryGradient()

◆ SetClassifier()

◆ SetCliqueWeight_1()

◆ SetCliqueWeight_2()

◆ SetCliqueWeight_3()

◆ SetCliqueWeight_4()

◆ SetCliqueWeight_5()

◆ SetCliqueWeight_6()

◆ SetClusterSize()

◆ SetLabelledImage()

◆ SetMaximumNumberOfIterations()

◆ SetNumberOfClasses()

◆ SetObjectLabel()

◆ SetObjectThreshold()

◆ SetStartPoint()

◆ SetTrainingImage()

Member Data Documentation

◆ ImageDimension

◆ m_ClassifierPtr

◆ m_ImageDepth

◆ m_ImageHeight

◆ m_ObjectThreshold

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