#include <itkRGBGibbsPriorFilter.h>

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:

\[ f = f_1 + f_2 + f_3 \]

where \(f_1\) 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 56 of file 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

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImagePixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageRegionConstIterator

using	InputImageRegionIterator

using	InputImageType = TInputImage

using	InputImageVecType = typename TInputImage::PixelType

using	InputPixelType = typename TInputImage::PixelType

using	LabelledImageIndexType = typename TClassifiedImage::IndexType

using	LabelledImagePixelType

using	LabelledImageRegionIterator

using	LabelledImageType = typename TClassifiedImage::Pointer

using	LabelType = unsigned int

using	MatrixType = vnl_matrix<double>

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	MRFStopEnum = MRFImageFilterEnums::MRFStop

using	NeighborhoodRadiusType = typename TInputImage::SizeType

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

Public Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using	ConstPointer

using	InputImageConstPointer

using	InputImagePixelType

using	InputImagePointer

using	InputImageRegionType

using	InputImageType

typedef typename OutputImageType::PixelType	OutputImagePixelType

using	OutputImagePixelType

typedef typename OutputImageType::RegionType	OutputImageRegionType

using	OutputImageRegionType

using	Pointer

using	Self

using	Superclass

Public Types inherited from itk::ImageSource< TOutputImage >
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 = TOutputImage

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

virtual unsigned int	GetBoundaryGradient () const

LabelledImageType	GetLabelledImage ()

unsigned int	GetMaximumNumberOfIterations () const override

const char *	GetNameOfClass () const override

unsigned int	GetNumberOfClasses () const override

virtual double	GetObjectThreshold () const

virtual IndexType	GetStartPoint () const

virtual void	SetBoundaryGradient (unsigned int _arg)

void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)

void	SetLabelledImage (LabelledImageType image)

void	SetMaximumNumberOfIterations (const unsigned int numberOfIterations) override

void	SetNumberOfClasses (const unsigned int numberOfClasses) override

virtual void	SetObjectThreshold (double _arg)

virtual void	SetStartPoint (IndexType _arg)


virtual void	SetTrainingImage (TrainingImageType _arg)

virtual TrainingImageType	GetTrainingImage () const


virtual void	SetClusterSize (unsigned int _arg)

virtual unsigned int	GetClusterSize () const


virtual void	SetObjectLabel (LabelType _arg)

virtual LabelType	GetObjectLabel () const


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

Public Member Functions inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
virtual std::vector< double >	GetMRFNeighborhoodWeight ()

const NeighborhoodRadiusType	GetNeighborhoodRadius () const

virtual const unsigned int &	GetNumberOfIterations () const

virtual const MRFStopEnum &	GetStopCondition () const

void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)

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

void	SetNeighborhoodRadius (const NeighborhoodRadiusType &)

void	SetNeighborhoodRadius (const SizeValueType *radiusArray)

void	SetNeighborhoodRadius (const SizeValueType)

virtual void	SetErrorTolerance (double _arg)

virtual double	GetErrorTolerance () const

virtual void	SetSmoothingFactor (double _arg)

virtual double	GetSmoothingFactor () const

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

const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopBackInput () override

void	PopFrontInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const InputImageType *input)

virtual void	SetInput (const InputImageType *input)

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

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

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)

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

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

virtual void	GraftOutput (DataObject *graft)

OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

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 ()

MultiThreaderType *	GetMultiThreader () const

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	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

void	SetMultiThreader (MultiThreaderType *threader)

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

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

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 double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

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 ()

Static Public Attributes
static constexpr unsigned int	ImageDimension = TInputImage::ImageDimension

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	InputImageDimension

static constexpr unsigned int	OutputImageDimension

static constexpr unsigned int	OutputImageDimension

Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
void	Allocate ()

virtual void	ApplyGibbsLabeller ()

virtual void	ApplyGPImageFilter ()

void	GenerateData () override

void	MinimizeFunctional () override

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

	RGBGibbsPriorFilter ()

	~RGBGibbsPriorFilter () override=default

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

virtual void	ApplyMRFImageFilter ()

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

void	EnlargeOutputRequestedRegion (DataObject *) override

void	GenerateInputRequestedRegion () override

void	GenerateOutputInformation () override

	MRFImageFilter ()

	~MRFImageFilter () override=default

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

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

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

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

	ImageToImageFilter ()

	ImageToImageFilter ()

void	VerifyInputInformation () const override

void	VerifyInputInformation () const override

	~ImageToImageFilter () override=default

	~ImageToImageFilter () override=default

Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

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

	~ImageSource () override=default

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

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	AddOutput (DataObject *output)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

virtual void	ReleaseInputs ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

virtual void	RestoreInputReleaseDataFlags ()

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

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

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

virtual void	SetPrimaryInput (DataObject *object)

virtual void	SetPrimaryOutput (DataObject *object)

void	SetRequiredInputNames (const NameArray &)

virtual void	VerifyPreconditions () const

	~ProcessObject () override

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

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

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

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

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

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 ()

Private Types
using	InputImageSizeType = typename TInputImage::SizeType

Private Member Functions
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	RegionEraser ()

int	Sim (int a, int b)

Private Attributes
unsigned int	m_BoundaryGradient { 7 }

double	m_BoundaryWeight { 1 }

ClassifierType::Pointer	m_ClassifierPtr {}

double	m_CliqueWeight_1 { 0.0 }

double	m_CliqueWeight_2 { 0.0 }

double	m_CliqueWeight_3 { 0.0 }

double	m_CliqueWeight_4 { 0.0 }

double	m_CliqueWeight_5 { 0.0 }

double	m_CliqueWeight_6 { 0.0 }

unsigned int	m_ClusterSize { 10 }

double	m_GibbsPriorWeight { 1 }

unsigned int	m_ImageDepth { 0 }

unsigned int	m_ImageHeight { 0 }

unsigned int	m_ImageWidth { 0 }

InputImageConstPointer	m_InputImage {}

LabelledImageType	m_LabelledImage {}

std::unique_ptr< LabelType[]>	m_LabelStatus { nullptr }

InputPixelType	m_LowPoint {}

unsigned int	m_MaximumNumberOfIterations { 10 }

InputImagePointer	m_MediumImage {}

unsigned int	m_NumberOfClasses { 0 }

LabelType	m_ObjectLabel { 1 }

double	m_ObjectThreshold { 5.0 }

int	m_RecursiveNumber { 0 }

std::unique_ptr< unsigned short[]>	m_Region { nullptr }

std::unique_ptr< unsigned short[]>	m_RegionCount { nullptr }

IndexType	m_StartPoint {}

int	m_StartRadius { 10 }

unsigned int	m_Temp { 0 }

TrainingImageType	m_TrainingImage {}

unsigned int	m_VecDim { 0 }

Additional Inherited Members
Protected Types inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
using	LabelStatusImageIterator = ImageRegionIterator<LabelStatusImageType>

using	LabelStatusImageNeighborhoodIterator = NeighborhoodIterator<LabelStatusImageType>

using	LabelStatusImagePointer = typename LabelStatusImageType::Pointer

using	LabelStatusImageType = Image<int, Self::InputImageDimension>

using	LabelStatusIndexType = typename LabelStatusImageType::IndexType

using	LabelStatusRegionType = typename LabelStatusImageType::RegionType

Protected Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using	InputToOutputRegionCopierType

using	OutputToInputRegionCopierType

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

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject>
static void	MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)

static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool	m_DynamicMultiThreading { true }

Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime {}

bool	m_Updating {}

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

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 90 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 106 of file itkRGBGibbsPriorFilter.h.

◆ ConstPointer

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 65 of file itkRGBGibbsPriorFilter.h.

◆ IndexType

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 110 of file itkRGBGibbsPriorFilter.h.

◆ IndexValueType

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::IndexValueType

Definition at line 204 of file itkMRFImageFilter.h.

◆ InputImageConstPointer

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 84 of file itkRGBGibbsPriorFilter.h.

◆ InputImagePixelType

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImagePixelType

Type definition for the input image pixel type.

Definition at line 172 of file itkMRFImageFilter.h.

◆ InputImagePointer

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 83 of file itkRGBGibbsPriorFilter.h.

◆ InputImageRegionConstIterator

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator

Definition at line 179 of file itkMRFImageFilter.h.

◆ InputImageRegionIterator

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator

Type definition for the input image region iterator

Definition at line 178 of file itkMRFImageFilter.h.

◆ InputImageSizeType

template<typename TInputImage, typename TClassifiedImage>

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

private

Definition at line 244 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 82 of file itkRGBGibbsPriorFilter.h.

◆ InputImageVecType

template<typename TInputImage, typename TClassifiedImage>

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

Input pixel type.

Definition at line 109 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 87 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 98 of file itkRGBGibbsPriorFilter.h.

◆ LabelledImagePixelType

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType

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

Definition at line 196 of file itkMRFImageFilter.h.

◆ LabelledImageRegionIterator

template<typename TInputImage, typename TClassifiedImage>

using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator

Type definition for the input image region iterator

Definition at line 210 of file itkMRFImageFilter.h.

◆ LabelledImageType

template<typename TInputImage, typename TClassifiedImage>

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

Type definitions for the labelled image. Derived from the training image.

Definition at line 95 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 103 of file itkRGBGibbsPriorFilter.h.

◆ MatrixType

template<typename TInputImage, typename TClassifiedImage>

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

Type of matrix to use.

Definition at line 214 of file itkRGBGibbsPriorFilter.h.

◆ Pointer

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 64 of file itkRGBGibbsPriorFilter.h.

◆ Self

template<typename TInputImage, typename TClassifiedImage>

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

Standard "Self" type alias.

Definition at line 62 of file itkRGBGibbsPriorFilter.h.

◆ Superclass

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 63 of file itkRGBGibbsPriorFilter.h.

◆ TrainingImageType

template<typename TInputImage, typename TClassifiedImage>

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

Definition at line 91 of file itkRGBGibbsPriorFilter.h.

Constructor & Destructor Documentation

◆ RGBGibbsPriorFilter()

template<typename TInputImage, typename TClassifiedImage>

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

protected

Referenced by GetNameOfClass().

◆ ~RGBGibbsPriorFilter()

template<typename TInputImage, typename TClassifiedImage>

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

overrideprotecteddefault

Member Function Documentation

◆ Allocate()

template<typename TInputImage, typename TClassifiedImage>

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

protected

Allocate memory for classified image pixel status.

◆ ApplyGibbsLabeller()

template<typename TInputImage, typename TClassifiedImage>

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

protectedvirtual

◆ ApplyGPImageFilter()

template<typename TInputImage, typename TClassifiedImage>

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

protectedvirtual

◆ 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

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 DynamicThreadedGenerateData(). 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 can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.

See also: ThreadedGenerateData()

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

◆ GenerateMediumImage()

template<typename TInputImage, typename TClassifiedImage>

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

private

Create the intermediate image.

◆ GetBoundaryGradient()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

◆ GetCliqueWeight_1()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetCliqueWeight_2()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetCliqueWeight_3()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetCliqueWeight_4()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetCliqueWeight_5()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetCliqueWeight_6()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ GetClusterSize()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the threshold for the object size.

◆ GetLabelledImage()

template<typename TInputImage, typename TClassifiedImage>

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

inline

Get the labelled image.

Definition at line 124 of file itkRGBGibbsPriorFilter.h.

References m_LabelledImage.

◆ 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 168 of file itkRGBGibbsPriorFilter.h.

References m_MaximumNumberOfIterations.

◆ GetNameOfClass()

template<typename TInputImage, typename TClassifiedImage>

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

overridevirtual

See also: LightObject::GetNameOfClass()

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

References RGBGibbsPriorFilter().

◆ 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 147 of file itkRGBGibbsPriorFilter.h.

References m_NumberOfClasses.

◆ GetObjectLabel()

template<typename TInputImage, typename TClassifiedImage>

virtual LabelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetObjectLabel ( ) const

virtual

Set/Get the label for the object region.

◆ GetObjectThreshold()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

◆ GetStartPoint()

template<typename TInputImage, typename TClassifiedImage>

virtual IndexType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetStartPoint ( ) const

virtual

◆ GetTrainingImage()

template<typename TInputImage, typename TClassifiedImage>

virtual TrainingImageType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetTrainingImage ( ) const

virtual

Set/Get the image required for training type classifiers.

◆ 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

Minimize the local characteristic \(f_2\) term in the energy function. Calculates \(H_2\).

◆ GreyScalarBoundary()

template<typename TInputImage, typename TClassifiedImage>

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

private

Smooth the image in piecewise fashion. Calculates \(H_1\).

◆ LabelRegion()

template<typename TInputImage, typename TClassifiedImage>

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

private

Label a region.

◆ MinimizeFunctional()

template<typename TInputImage, typename TClassifiedImage>

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

overrideprotectedvirtual

Minimize the functional to be used.

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

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.

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

◆ RegionEraser()

template<typename TInputImage, typename TClassifiedImage>

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

private

Erase small regions. Removes the tiny bias inside the object region.

◆ SetBoundaryGradient()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

◆ SetClassifier()

template<typename TInputImage, typename TClassifiedImage>

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

Set the classifier.

◆ SetCliqueWeight_1()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetCliqueWeight_2()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetCliqueWeight_3()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetCliqueWeight_4()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetCliqueWeight_5()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetCliqueWeight_6()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the value for clique weights.

◆ SetClusterSize()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get 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 155 of file itkRGBGibbsPriorFilter.h.

References m_MaximumNumberOfIterations, and itk::Object::Modified().

◆ 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 135 of file itkRGBGibbsPriorFilter.h.

References m_NumberOfClasses, and itk::Object::Modified().

◆ SetObjectLabel()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the label for the object region.

◆ SetObjectThreshold()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

◆ SetStartPoint()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

◆ SetTrainingImage()

template<typename TInputImage, typename TClassifiedImage>

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

virtual

Set/Get the image required for training type classifiers.

◆ Sim()

template<typename TInputImage, typename TClassifiedImage>

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

private

Check if the values are identical.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage, typename TClassifiedImage>

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

staticconstexpr

Extract the input image dimension.

Definition at line 186 of file itkRGBGibbsPriorFilter.h.

◆ m_BoundaryGradient

template<typename TInputImage, typename TClassifiedImage>

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryGradient { 7 }

private

Threshold for the existence of a boundary.

Definition at line 264 of file itkRGBGibbsPriorFilter.h.

◆ m_BoundaryWeight

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_BoundaryWeight { 1 }

private

Weight for \(H_1\).

Definition at line 267 of file itkRGBGibbsPriorFilter.h.

◆ m_ClassifierPtr

template<typename TInputImage, typename TClassifiedImage>

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

private

Definition at line 261 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_1

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_1 { 0.0 }

private

Weight for cliques that v/h smooth boundary.

Definition at line 320 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_2

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_2 { 0.0 }

private

Weight for clique that has an intermediate smooth boundary.

Definition at line 323 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_3

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_3 { 0.0 }

private

Weight for clique that has a diagonal smooth boundary.

Definition at line 326 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_4

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_4 { 0.0 }

private

Weight for clique consists only object pixels.

Definition at line 329 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_5

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_5 { 0.0 }

private

Weight for clique consists only background pixels.

Definition at line 332 of file itkRGBGibbsPriorFilter.h.

◆ m_CliqueWeight_6

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_CliqueWeight_6 { 0.0 }

private

Weight for other cliques.

Definition at line 335 of file itkRGBGibbsPriorFilter.h.

◆ m_ClusterSize

template<typename TInputImage, typename TClassifiedImage>

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ClusterSize { 10 }

private

Region sizes smaller than this threshold value will be erased.

Definition at line 300 of file itkRGBGibbsPriorFilter.h.

◆ m_GibbsPriorWeight

template<typename TInputImage, typename TClassifiedImage>

double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_GibbsPriorWeight { 1 }

private

Weight for \(H_2\).

Definition at line 270 of file itkRGBGibbsPriorFilter.h.

◆ m_ImageDepth

template<typename TInputImage, typename TClassifiedImage>

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

private

Image depth.

Definition at line 297 of file itkRGBGibbsPriorFilter.h.

◆ m_ImageHeight

template<typename TInputImage, typename TClassifiedImage>

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

private

Image height.

Definition at line 294 of file itkRGBGibbsPriorFilter.h.

◆ m_ImageWidth

template<typename TInputImage, typename TClassifiedImage>

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

private

Image width.

Definition at line 291 of file itkRGBGibbsPriorFilter.h.

◆ m_InputImage

template<typename TInputImage, typename TClassifiedImage>

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

private

Input.

Definition at line 247 of file itkRGBGibbsPriorFilter.h.

◆ m_LabelledImage

template<typename TInputImage, typename TClassifiedImage>

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

private

Output.

Definition at line 253 of file itkRGBGibbsPriorFilter.h.

Referenced by GetLabelledImage().

◆ m_LabelStatus

template<typename TInputImage, typename TClassifiedImage>

std::unique_ptr<LabelType[]> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_LabelStatus { nullptr }

private

Array to store the state of each pixel.

Definition at line 279 of file itkRGBGibbsPriorFilter.h.

◆ m_LowPoint

template<typename TInputImage, typename TClassifiedImage>

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

private

Point giving lowest value of \(H_1\) in neighborhood.

Definition at line 309 of file itkRGBGibbsPriorFilter.h.

◆ m_MaximumNumberOfIterations

template<typename TInputImage, typename TClassifiedImage>

unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_MaximumNumberOfIterations { 10 }

private

Maximum number of iterations.

Definition at line 259 of file itkRGBGibbsPriorFilter.h.

Referenced by GetMaximumNumberOfIterations(), and SetMaximumNumberOfIterations().

◆ m_MediumImage

template<typename TInputImage, typename TClassifiedImage>

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

private

Intermediate result image.

Definition at line 282 of file itkRGBGibbsPriorFilter.h.

◆ m_NumberOfClasses

template<typename TInputImage, typename TClassifiedImage>

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

private

Number of classes that need to be classified.

Definition at line 256 of file itkRGBGibbsPriorFilter.h.

Referenced by GetNumberOfClasses(), and SetNumberOfClasses().

◆ m_ObjectLabel

template<typename TInputImage, typename TClassifiedImage>

LabelType itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_ObjectLabel { 1 }

private

Label for object region.

Definition at line 303 of file itkRGBGibbsPriorFilter.h.

◆ m_ObjectThreshold

template<typename TInputImage, typename TClassifiedImage>

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

private

Definition at line 368 of file itkRGBGibbsPriorFilter.h.

◆ m_RecursiveNumber

template<typename TInputImage, typename TClassifiedImage>

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

private

Number of SA iterations.

Definition at line 276 of file itkRGBGibbsPriorFilter.h.

◆ m_Region

template<typename TInputImage, typename TClassifiedImage>

std::unique_ptr<unsigned short[]> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_Region { nullptr }

private

Used for erasing regions.

Definition at line 312 of file itkRGBGibbsPriorFilter.h.

◆ m_RegionCount

template<typename TInputImage, typename TClassifiedImage>

std::unique_ptr<unsigned short[]> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_RegionCount { nullptr }

private

Used for erasing regions.

Definition at line 315 of file itkRGBGibbsPriorFilter.h.

◆ m_StartPoint

template<typename TInputImage, typename TClassifiedImage>

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

private

Seed.

Definition at line 288 of file itkRGBGibbsPriorFilter.h.

◆ m_StartRadius

template<typename TInputImage, typename TClassifiedImage>

int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::m_StartRadius { 10 }

private

Start region of the object.

Definition at line 273 of file itkRGBGibbsPriorFilter.h.

◆ m_Temp

template<typename TInputImage, typename TClassifiedImage>

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

private

Used by the SA algorithm.

Definition at line 285 of file itkRGBGibbsPriorFilter.h.

◆ m_TrainingImage

template<typename TInputImage, typename TClassifiedImage>

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

private

Image to train the filter.

Definition at line 250 of file itkRGBGibbsPriorFilter.h.

◆ m_VecDim

template<typename TInputImage, typename TClassifiedImage>

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

private

Number of channels in the image.

Definition at line 306 of file itkRGBGibbsPriorFilter.h.

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

itkRGBGibbsPriorFilter.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Types

Private Member Functions

Private Attributes

Additional Inherited Members

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

◆ Allocate()

◆ ApplyGibbsLabeller()

◆ ApplyGPImageFilter()

◆ CreateAnother()

◆ GenerateData()

◆ GenerateMediumImage()

◆ GetBoundaryGradient()

◆ GetCliqueWeight_1()

◆ GetCliqueWeight_2()

◆ GetCliqueWeight_3()

◆ GetCliqueWeight_4()

◆ GetCliqueWeight_5()

◆ GetCliqueWeight_6()

◆ GetClusterSize()

◆ GetLabelledImage()

◆ GetMaximumNumberOfIterations()

◆ GetNameOfClass()

◆ GetNumberOfClasses()

◆ GetObjectLabel()

◆ GetObjectThreshold()

◆ GetStartPoint()

◆ GetTrainingImage()

◆ GibbsEnergy()

◆ GibbsTotalEnergy()

◆ GreyScalarBoundary()

◆ LabelRegion()

◆ MinimizeFunctional()

◆ New()

◆ PrintSelf()

◆ RegionEraser()

◆ SetBoundaryGradient()

◆ SetClassifier()

◆ SetCliqueWeight_1()

◆ SetCliqueWeight_2()

◆ SetCliqueWeight_3()

◆ SetCliqueWeight_4()

◆ SetCliqueWeight_5()

◆ SetCliqueWeight_6()

◆ SetClusterSize()

◆ SetLabelledImage()

◆ SetMaximumNumberOfIterations()