itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage > Class Template Reference

#include <itkRGBGibbsPriorFilter.h>

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

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

List of all members.

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

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
LabelledImageType	GetLabelledImage ()
virtual unsigned int	GetMaximumNumberOfIterations () const
virtual const char *	GetNameOfClass () const
virtual unsigned int	GetNumberOfClasses () const
virtual void	SetBoundaryGradient (unsigned int _arg)
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
virtual void	SetClusterSize (unsigned int _arg)
void	SetLabelledImage (LabelledImageType LabelledImage)
virtual void	SetMaximumNumberOfIterations (unsigned int _arg)
virtual void	SetNumberOfClasses (unsigned int _arg)
virtual void	SetObjectLabel (LabelType _arg)
virtual void	SetObjectThreshold (double _arg)
virtual void	SetStartPoint (IndexType _arg)
void	SetTrainingImage (TrainingImageType image)
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 ()
virtual const StopConditionType &	GetStopCondition ()
virtual void	SetMRFNeighborhoodWeight (std::vector< double > BetaMatrix)
void	SetNeighborhoodRadius (const NeighborhoodRadiusType &)
void	SetNeighborhoodRadius (const SizeValueType)
void	SetNeighborhoodRadius (const SizeValueType *radiusArray)
	typedef (Concept::Convertible< unsigned int, LabelledImagePixelType >) UnsignedIntConvertibleToClassifiedCheck
	typedef (Concept::Convertible< LabelledImagePixelType, unsigned int >) ClassifiedConvertibleToUnsignedIntCheck
	typedef (Concept::Convertible< LabelledImagePixelType, int >) ClassifiedConvertibleToIntCheck
	typedef (Concept::Convertible< int, LabelledImagePixelType >) IntConvertibleToClassifiedCheck
	typedef (Concept::SameDimension< InputImageDimension, ClassifiedImageDimension >) SameDimensionCheck
virtual void	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 (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
Public Member Functions inherited from itk::ImageSource< TClassifiedImage >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	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
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Static Public Attributes inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
static const unsigned int	ClassifiedImageDimension = TClassifiedImage::ImageDimension
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
static const unsigned int	OutputImageDimension
Static Public Attributes inherited from itk::ImageSource< TClassifiedImage >

Protected Member Functions
virtual void	ApplyGibbsLabeller ()
virtual void	ApplyGPImageFilter ()
virtual void	GenerateData ()
virtual void	MinimizeFunctional ()
	typedef (Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) >) SameDimension
	typedef (Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 >) DimensionShouldBe3
Protected Member Functions inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
void	Allocate ()
virtual void	ApplyMRFImageFilter ()
virtual void	DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
	MRFImageFilter ()
	~MRFImageFilter ()
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
	ImageToImageFilter ()
virtual void	VerifyInputInformation ()
	~ImageToImageFilter ()
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
Protected Member Functions inherited from itk::ImageSource< TClassifiedImage >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~ImageSource ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
	ProcessObject ()
virtual void	PropagateResetPipeline ()
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 num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
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
typedef TInputImage::SizeType	InputImageSizeType

Private Member Functions
double	GibbsEnergy (unsigned int i, unsigned int k, unsigned int k1)
void	GibbsTotalEnergy (int i)
void	operator= (const Self &)
	RGBGibbsPriorFilter (const Self &)

Private Attributes
ClassifierType::Pointer	m_ClassifierPtr
unsigned int	m_ImageDepth
unsigned int	m_ImageHeight
double	m_ObjectThreshold
typedef vnl_matrix< double >	MatrixType
	RGBGibbsPriorFilter ()
	~RGBGibbsPriorFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const

Additional Inherited Members
Protected Types inherited from itk::MRFImageFilter< TInputImage, TClassifiedImage >
typedef ImageRegionIterator < LabelStatusImageType >	LabelStatusImageIterator
typedef NeighborhoodIterator < LabelStatusImageType >	LabelStatusImageNeighborhoodIterator
typedef LabelStatusImageType::Pointer	LabelStatusImagePointer
typedef Image< int, itkGetStaticConstMacro(InputImageDimension) >	LabelStatusImageType
typedef LabelStatusImageType::IndexType	LabelStatusIndexType
typedef LabelStatusImageType::RegionType	LabelStatusRegionType
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

---

Detailed Description

template<class TInputImage, class 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 minized by the GibbsTotalEnergy method.

This filter only works with 3D images.

Definition at line 47 of file itkRGBGibbsPriorFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TClassifiedImage >

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

Type definitions for the training image.

Definition at line 80 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

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

Definition at line 96 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 55 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 100 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 69 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 74 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Types from superclass.

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

Definition at line 61 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 73 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 65 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image region iterator

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

Definition at line 66 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

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

Definition at line 194 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

A smart pointer to the input image type.

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

Definition at line 72 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

The type of input pixel.

Definition at line 99 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image pixel type.

Definition at line 77 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the classified image index type.

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

Definition at line 88 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

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

Definition at line 68 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image region iterator

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

Definition at line 67 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 85 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type used as identifier for the Labels

Warning:

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

Definition at line 93 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Specify the type of matrix to use.

Definition at line 157 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 54 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Standard "Self" typedef.

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

Definition at line 52 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 53 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 81 of file itkRGBGibbsPriorFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TClassifiedImage >

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

protected

Specify the type of matrix to use.

template<class TInputImage , class TClassifiedImage >

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

protected

Specify the type of matrix to use.

template<class TInputImage , class TClassifiedImage >

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

private

End concept checking

---

Member Function Documentation

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

template<class TInputImage , class TClassifiedImage >

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

virtual

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

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

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

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

See also:

ThreadedGenerateData()

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

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

inline

Get the labelled image.

Definition at line 109 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

virtual

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

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

template<class TInputImage , class TClassifiedImage >

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

virtual

Run-time type information (and related methods).

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

template<class TInputImage , class TClassifiedImage >

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

virtual

Get the Number of classes.

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

template<class TInputImage , class TClassifiedImage >

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

private

calculate the energy in each cluster.

template<class TInputImage , class 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 boundayr 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.

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

allocate memory space for the filter.

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

template<class TInputImage , class TClassifiedImage >

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

static

Method for creation through the object factory.

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

template<class TInputImage , class TClassifiedImage >

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

private

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

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

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

Specify the type of matrix to use.

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

template<class TInputImage , class TClassifiedImage >

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

virtual

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetClassifier

(

typename ClassifierType::Pointer

ptrToClassifier

)

Set the pointer to the classifer being used.

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

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

set and get the value for Clique weights

template<class TInputImage , class TClassifiedImage >

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

virtual

Set the threshold for the object size.

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetLabelledImage

(

LabelledImageType

LabelledImage

)

Set the labelled image.

template<class TInputImage , class TClassifiedImage >

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

virtual

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

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

template<class TInputImage , class TClassifiedImage >

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

virtual

Set the Number of classes.

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

template<class TInputImage , class TClassifiedImage >

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

virtual

Set the label for the object region.

template<class TInputImage , class TClassifiedImage >

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

virtual

template<class TInputImage , class TClassifiedImage >

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

virtual

template<class TInputImage , class TClassifiedImage >

void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::SetTrainingImage

(

TrainingImageType

image

)

Set the image required for training type classifiers.

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::typedef ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) >  )

protected

Begin concept checking This class requires SameDimension in the form of ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), itkGetStaticConstMacro(ClassifiedImageType::ImageDimension) > )

template<class TInputImage , class TClassifiedImage >

itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::typedef ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 >  )

protected

This class requires DimensionShouldBe3 in the form of ( Concept::SameDimension< itkGetStaticConstMacro(InputImageType::ImageDimension), 3 > )

---

Member Data Documentation

template<class TInputImage , class TClassifiedImage >

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

static

Extract the input image dimension.

Definition at line 137 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class 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.

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

Definition at line 210 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

Definition at line 234 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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 233 of file itkRGBGibbsPriorFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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 286 of file itkRGBGibbsPriorFilter.h.

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

• itkRGBGibbsPriorFilter.h