#include <itkMRFImageFilter.h>

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

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

Public Types
typedef ImageClassifierBase < TInputImage, TClassifiedImage >	ClassifierType
typedef SmartPointer< const Self >	ConstPointer
typedef LabelledImageIndexType::IndexValueType	IndexValueType
typedef TInputImage::ConstPointer	InputImageConstPointer
typedef InputImageFaceListType::iterator	InputImageFaceListIterator
typedef InputImageFacesCalculator::FaceListType	InputImageFaceListType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < TInputImage >	InputImageFacesCalculator
typedef ConstNeighborhoodIterator < TInputImage >	InputImageNeighborhoodIterator
typedef InputImageNeighborhoodIterator::RadiusType	InputImageNeighborhoodRadiusType
typedef TInputImage::PixelType	InputImagePixelType
typedef TInputImage::Pointer	InputImagePointer
typedef ImageRegionConstIterator < TInputImage >	InputImageRegionConstIterator
typedef ImageRegionIterator < TInputImage >	InputImageRegionIterator
typedef TInputImage::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef LabelledImageFaceListType::iterator	LabelledImageFaceListIterator
typedef LabelledImageFacesCalculator::FaceListType	LabelledImageFaceListType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < TClassifiedImage >	LabelledImageFacesCalculator
typedef TClassifiedImage::IndexType	LabelledImageIndexType
typedef NeighborhoodIterator < TClassifiedImage >	LabelledImageNeighborhoodIterator
typedef LabelledImageNeighborhoodIterator::RadiusType	LabelledImageNeighborhoodRadiusType
typedef TClassifiedImage::OffsetType	LabelledImageOffsetType
typedef TClassifiedImage::PixelType	LabelledImagePixelType
typedef TClassifiedImage::Pointer	LabelledImagePointer
typedef ImageRegionIterator < TClassifiedImage >	LabelledImageRegionIterator
typedef TClassifiedImage::RegionType	LabelledImageRegionType
typedef TInputImage::SizeType	NeighborhoodRadiusType
typedef Superclass::OutputImagePointer	OutputImagePointer
typedef SmartPointer< Self >	Pointer
typedef MRFImageFilter	Self
typedef TInputImage::SizeType	SizeType
enum	StopConditionType { MaximumNumberOfIterations = 1, ErrorTolerance }
typedef ImageToImageFilter < TInputImage, TClassifiedImage >	Superclass
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
virtual std::vector< double >	GetMRFNeighborhoodWeight ()
virtual const char *	GetNameOfClass () const
const NeighborhoodRadiusType	GetNeighborhoodRadius () const
virtual const unsigned int &	GetNumberOfIterations ()
virtual const StopConditionType &	GetStopCondition ()
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
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	SetNumberOfClasses (unsigned int _arg)
virtual unsigned int	GetNumberOfClasses () const

virtual void	SetMaximumNumberOfIterations (unsigned int _arg)
virtual unsigned int	GetMaximumNumberOfIterations () const

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	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 Types
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

Protected Member Functions
void	Allocate ()
virtual void	ApplyMRFImageFilter ()
virtual void	DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual void	GenerateData ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	MinimizeFunctional ()

	MRFImageFilter ()
	~MRFImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
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
typedef LabelStatusImageFaceListType::iterator	LabelStatusImageFaceListIterator
typedef LabelStatusImageFacesCalculator::FaceListType	LabelStatusImageFaceListType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator < LabelStatusImageType >	LabelStatusImageFacesCalculator
typedef LabelStatusImageNeighborhoodIterator::RadiusType	LabelStatusImageNeighborhoodRadiusType

Private Member Functions
void	ApplyICMLabeller ()
	MRFImageFilter (const Self &)
void	operator= (const Self &)
virtual void	SetDefaultMRFNeighborhoodWeight ()

Private Attributes
ClassifierType::Pointer	m_ClassifierPtr
double *	m_ClassProbability
std::vector< double >	m_DummyVector
int	m_ErrorCounter
double	m_ErrorTolerance
InputImageNeighborhoodRadiusType	m_InputImageNeighborhoodRadius
unsigned int	m_KernelSize
LabelledImageNeighborhoodRadiusType	m_LabelledImageNeighborhoodRadius
LabelStatusImagePointer	m_LabelStatusImage
LabelStatusImageNeighborhoodRadiusType	m_LabelStatusImageNeighborhoodRadius
std::vector< double >	m_MahalanobisDistance
unsigned int	m_MaximumNumberOfIterations
std::vector< double >	m_MRFNeighborhoodWeight
int	m_NeighborhoodSize
std::vector< double >	m_NeighborInfluence
unsigned int	m_NumberOfClasses
unsigned int	m_NumberOfIterations
double	m_SmoothingFactor
StopConditionType	m_StopCondition
int	m_TotalNumberOfPixelsInInputImage
int	m_TotalNumberOfValidPixelsInOutputImage

Detailed Description

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

Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set.

This object classifies pixels based on a Markov Random Field (MRF) model. This implementation uses the maximum a posteriori (MAP) estimates for modeling the MRF. The object traverses the data set and uses the model generated by the Mahalanobis distance classifier to get the distance between each pixel in the data set to a set of known classes, updates the distances by evaluating the influence of its neighboring pixels (based on a MRF model) and finally, classifies each pixel to the class which has the minimum distance to that pixel (taking the neighborhood influence under consideration). DoNeighborhoodOperation is the function that can be modified to achieve different falvors of MRF filters in derived classes.

The classified initial labeled image is needed. It is important that the number of expected classes be set before calling the classifier. In our case we have used the ImageClassifer using a Gaussian model to generate the initial labels. This classifier requires the user to ensure that an appropriate membership function is provided. See the documentation of the image classifier class for more information.

The influence of a neighborhood on a given pixel's classification (the MRF term) is computed by calculating a weighted sum of number of class labels in a three dimensional neighborhood. The basic idea of this neighborhood influence is that if a large number of neighbors of a pixel are of one class, then the current pixel is likely to be of the same class.

The dimensions of the neighborhood are the same as the input image dimensions, and values of the weighting parameters are either specified by the user or through the beta matrix parameter. The default weighting table is generated during object construction. The following table shows an example of a 3 x 3 x 3 neighborhood and the weighting values used. A 3 x 3 x 3 kernel is used where each value is a nonnegative parameter, which encourages neighbors to be of the same class. In this example, the influence of the pixels in the same slice is assigned a weight 1.7. The influence of the pixels in the same location in the previous and next slice is assigned a weight 1.5. A weight of 1.3 is assigned to the influence of the north, south, east, west, and diagonal pixels in the previous and next slices.

$\begin{tabular}{ccc} \begin{tabular}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.3 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{tabular} & \begin{tabular}{|c|c|c|} 1.7 & 1.7 & 1.7 \\ 1.7 & 0 & 1.7 \\ 1.7 & 1.7 & 1.7 \\ \end{tabular} & \begin{tabular}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.5 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{tabular} \\ \end{tabular}$

The user needs to set the neighborhood size using the SetNeighborhoodRadius function. The details on the semantics of a neighborhood can be found in the documentation associated with the itkNeighborhood and related objects. NOTE: The size of the neighborhood must match the size of the neighborhood weighting parameters set by the user.

For minimization of the MRF labeling function the MinimizeFunctional virtual method is called. For our current implementation we use the iterated conditional modes (ICM) algorithm described by Besag in the paper ``On the Statistical Analysis of Dirty Pictures'' in J. Royal Stat. Soc. B, Vol. 48, 1986.

In each iteration, the algorithm visits each pixel in turn and determines whether to update its classification by computing the influence of the classification of the pixel's neighbors and of the intensity data. On each iteration after the first, we reexamine the classification of a pixel only if the classification of some of its neighbors has changed in the previous iteration. The pixels' classification is updated using a synchronous scheme (iteration by iteration) until the error reaches less than the threshold or the number of iteration exceed the maximum set number of iterations. Note: The current implementation supports betaMatrix default weight for two and three dimensional images only. The default for higher dimension is set to unity. This should be overridden by custom weights after filter initialization.

See also:: Neighborhood; ImageIterator; NeighborhoodIterator; Classifier

Definition at line 125 of file itkMRFImageFilter.h.

Member Typedef Documentation

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 195 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 133 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageIndexType::IndexValueType itk::MRFImageFilter< TInputImage, TClassifiedImage >::IndexValueType

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 181 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 145 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 217 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 214 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 211 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Input image neighborhood iterator and kernel size typedef

Definition at line 205 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 208 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image pixel type.

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 148 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 144 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ImageRegionConstIterator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 155 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ImageRegionIterator< TInputImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator

Type definition for the input image region iterator

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 154 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image region type.

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

Definition at line 151 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 368 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the input image.

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 140 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 233 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 230 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 227 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the classified image index type.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 180 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Labelled image neighborhood interator typedef

Definition at line 221 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Definition at line 224 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definition for the classified image offset type.

Definition at line 184 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 173 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 169 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef ImageRegionIterator< TClassifiedImage > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator

Type definition for the input image region iterator

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 188 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Definition at line 177 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageFaceListType::iterator itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFaceListIterator

private

Definition at line 380 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageFacesCalculator::FaceListType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFaceListType

private

Definition at line 377 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< LabelStatusImageType > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFacesCalculator

private

Definition at line 374 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Definition at line 345 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Labelled status image neighborhood interator typedef

Definition at line 349 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

typedef LabelStatusImageNeighborhoodIterator::RadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageNeighborhoodRadiusType

private

Definition at line 371 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Definition at line 344 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Definition at line 341 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Definition at line 342 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

protected

Definition at line 343 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Radius typedef support.

Definition at line 201 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Reimplemented from itk::ImageSource< TClassifiedImage >.

Definition at line 134 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 132 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Standard class typedefs.

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 130 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Size and value typedef support.

Definition at line 198 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 131 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definitions for the training image pixel type.

Definition at line 165 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

Type definitions for the training image.

Definition at line 162 of file itkMRFImageFilter.h.

Member Enumeration Documentation

template<class TInputImage , class TClassifiedImage >

enum itk::MRFImageFilter::StopConditionType

Enumerator:

MaximumNumberOfIterations
ErrorTolerance

Definition at line 296 of file itkMRFImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage , class TClassifiedImage >

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

protected

End concept checking

template<class TInputImage , class TClassifiedImage >

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

protected

End concept checking

template<class TInputImage , class TClassifiedImage >

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

private

Member Function Documentation

template<class TInputImage , class TClassifiedImage >

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

protected

Allocate memory for labelled images.

template<class TInputImage , class TClassifiedImage >

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

private

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

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

template<class TInputImage , class TClassifiedImage >

virtual::itk::LightObject::Pointer itk::MRFImageFilter< 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::Object.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TClassifiedImage >

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::GenerateInputRequestedRegion ( void )

protectedvirtual

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

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

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

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

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

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

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TClassifiedImage >

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

virtual

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

template<class TInputImage , class TClassifiedImage >

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

virtual

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

inlinevirtual

Definition at line 290 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

virtual

Run-time type information (and related methods).

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

inline

Get the neighborhood radius

Definition at line 272 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

virtual

Set/Get the number of classes.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

virtual

template<class TInputImage , class TClassifiedImage >

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

virtual

Set/Get the degree of smoothing desired

template<class TInputImage , class TClassifiedImage >

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

virtual

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

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

Minimization algorithm to be used.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

static

Method for creation through the object factory.

Reimplemented from itk::Object.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

protectedvirtual

End concept checking

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

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

Set the pointer to the classifer being used.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetDefaultMRFNeighborhoodWeight ( )

privatevirtual

Set/Get the weighting parameters (Beta Matrix). A default 3 x 3 x 3 matrix is provided. However, the user is allowed to override it with their choice of weights for a 3 x 3 x 3 matrix.

template<class TInputImage , class TClassifiedImage >

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

virtual

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

template<class TInputImage , class TClassifiedImage >

virtual void itk::MRFImageFilter< 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 in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

virtual

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

template<class TInputImage , class TClassifiedImage >

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

Set the neighborhood radius

template<class TInputImage , class TClassifiedImage >

void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const SizeValueType )

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

template<class TInputImage , class TClassifiedImage >

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

template<class TInputImage , class TClassifiedImage >

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

virtual

Set/Get the number of classes.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage , class TClassifiedImage >

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

virtual

Set/Get the degree of smoothing desired

template<class TInputImage , class TClassifiedImage >

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

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

template<class TInputImage , class TClassifiedImage >

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

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

template<class TInputImage , class TClassifiedImage >

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

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

template<class TInputImage , class TClassifiedImage >

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

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

template<class TInputImage , class TClassifiedImage >

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

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

Member Data Documentation

template<class TInputImage , class TClassifiedImage >

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

static

Labelled Image dimension

Definition at line 192 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

static

Image dimension

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

Definition at line 159 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

Pointer to the classifier to be used for the MRF labelling.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 408 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

double* itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ClassProbability

private

Definition at line 396 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

std::vector< double > itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_DummyVector

private

Definition at line 405 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ErrorCounter

private

Definition at line 390 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ErrorTolerance

private

Definition at line 394 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

InputImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_InputImageNeighborhoodRadius

private

Definition at line 382 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_KernelSize

private

Definition at line 388 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelledImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelledImageNeighborhoodRadius

private

Definition at line 383 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelStatusImagePointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelStatusImage

private

Definition at line 400 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

LabelStatusImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelStatusImageNeighborhoodRadius

private

Definition at line 384 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

std::vector< double > itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_MahalanobisDistance

private

Definition at line 404 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

Definition at line 387 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

std::vector< double > itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_MRFNeighborhoodWeight

private

Definition at line 402 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NeighborhoodSize

private

Definition at line 391 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

std::vector< double > itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NeighborInfluence

private

Definition at line 403 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

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

private

Definition at line 386 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NumberOfIterations

private

Definition at line 397 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

double itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_SmoothingFactor

private

Definition at line 395 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

StopConditionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_StopCondition

private

Definition at line 398 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfPixelsInInputImage

private

Definition at line 393 of file itkMRFImageFilter.h.

template<class TInputImage , class TClassifiedImage >

int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfValidPixelsInOutputImage

private

Definition at line 392 of file itkMRFImageFilter.h.

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

itkMRFImageFilter.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Private Types

Private Member Functions

Private Attributes

Detailed Description

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

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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