itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage > Class Template Reference
[Markov Random Field-based Filters]

#include <itkRGBGibbsPriorFilter.h>

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

[legend]Collaboration diagram for itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >:

[legend]List of all members.

Public Types
typedef RGBGibbsPriorFilter	Self
typedef MRFImageFilter< TInputImage, TClassifiedImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::InputImagePixelType	InputImagePixelType
typedef Superclass::InputImageRegionConstIterator	InputImageRegionConstIterator
typedef Superclass::InputImageRegionIterator	InputImageRegionIterator
typedef Superclass::LabelledImageRegionIterator	LabelledImageRegionIterator
typedef Superclass::LabelledImagePixelType	LabelledImagePixelType
typedef Superclass::IndexValueType	IndexValueType
typedef TInputImage	InputImageType
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage::ConstPointer	InputImageConstPointer
typedef TInputImage::PixelType	InputPixelType
typedef TClassifiedImage::Pointer	TrainingImageType
typedef TClassifiedImage::Pointer	LabelledImageType
typedef TClassifiedImage::IndexType	LabelledImageIndexType
typedef unsigned int	LabelType
typedef ImageClassifierBase< TInputImage, TClassifiedImage >	ClassifierType
typedef TInputImage::PixelType	InputImageVecType
typedef TInputImage::IndexType	IndexType
typedef vnl_matrix< double >	MatrixType
Public Member Functions
virtual const char *	GetClassName () const
void	SetTrainingImage (TrainingImageType image)
void	SetLabelledImage (LabelledImageType LabelledImage)
LabelledImageType	GetLabelledImage ()
void	SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
virtual void	SetNumberOfClasses (unsigned int _arg)
virtual unsigned int	GetNumberOfClasses ()
virtual void	SetMaximumNumberOfIterations (unsigned int _arg)
virtual unsigned int	GetMaximumNumberOfIterations ()
virtual void	SetClusterSize (unsigned int _arg)
virtual void	SetObjectLabel (LabelType _arg)
	itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
virtual void	SetStartPoint (IndexType _arg)
virtual void	SetBoundaryGradient (unsigned int _arg)
virtual void	SetObjectThreshold (double _arg)
virtual void	SetCliqueWeight_1 (double _arg)
virtual double	GetCliqueWeight_1 ()
virtual void	SetCliqueWeight_2 (double _arg)
virtual double	GetCliqueWeight_2 ()
virtual void	SetCliqueWeight_3 (double _arg)
virtual double	GetCliqueWeight_3 ()
virtual void	SetCliqueWeight_4 (double _arg)
virtual double	GetCliqueWeight_4 ()
virtual void	SetCliqueWeight_5 (double _arg)
virtual double	GetCliqueWeight_5 ()
virtual void	SetCliqueWeight_6 (double _arg)
virtual double	GetCliqueWeight_6 ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	RGBGibbsPriorFilter ()
	~RGBGibbsPriorFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	MinimizeFunctional ()
virtual void	GenerateData ()
virtual void	ApplyGibbsLabeller ()
virtual void	ApplyGPImageFilter ()

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Detailed Description

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

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

Definition at line 47 of file itkRGBGibbsPriorFilter.h.

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Member Typedef Documentation

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

Type definitions for classifier to be used for the MRF lavbelling. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 99 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 59 of file itkRGBGibbsPriorFilter.h.

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

Definition at line 103 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 73 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 78 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 68 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 77 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 69 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 70 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 76 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 102 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 81 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 91 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 72 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 71 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 88 of file itkRGBGibbsPriorFilter.h. Referenced by itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetLabelledImage().

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 96 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 165 of file itkRGBGibbsPriorFilter.h.

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

Smart pointer typedef support Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 58 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

Standard "Superclass" typedef. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >. Definition at line 55 of file itkRGBGibbsPriorFilter.h.

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

Type definitions for the training image. Definition at line 84 of file itkRGBGibbsPriorFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TClassifiedImage> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::RGBGibbsPriorFilter (   )  [protected]

template<class TInputImage, class TClassifiedImage> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::~RGBGibbsPriorFilter (   )  [protected]

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Member Function Documentation

template<class TInputImage, class TClassifiedImage> virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGibbsLabeller (   )  [protected, virtual]

template<class TInputImage, class TClassifiedImage> virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::ApplyGPImageFilter (   )  [protected, virtual]

template<class TInputImage, class TClassifiedImage> virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GenerateData (  void   )  [protected, virtual]

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 const char* itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetClassName (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_1 (   )  [virtual]

set and get the value for Clique weights

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_2 (   )  [virtual]

set and get the value for Clique weights

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_3 (   )  [virtual]

set and get the value for Clique weights

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_4 (   )  [virtual]

set and get the value for Clique weights

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_5 (   )  [virtual]

set and get the value for Clique weights

template<class TInputImage, class TClassifiedImage> virtual double itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetCliqueWeight_6 (   )  [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 112 of file itkRGBGibbsPriorFilter.h. References itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::LabelledImageType.

template<class TInputImage, class TClassifiedImage> virtual unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations (   )  [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 unsigned int itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses (   )  [virtual]

Get the Number of classes. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage> itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::itkStaticConstMacro (  ImageDimension  , unsigned  int, TInputImage::ImageDimension  )

Extract the input image dimension.

template<class TInputImage, class TClassifiedImage> virtual void itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >::MinimizeFunctional (   )  [protected, virtual]

allocate memory space for the filter. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage> 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 >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::MRFImageFilter< TInputImage, TClassifiedImage >.

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.

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

• itkRGBGibbsPriorFilter.h

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