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

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

#include <itkMRFImageFilter.h>

Inheritance diagram for itk::MRFImageFilter:

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

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List of all members.

Public Types

typedef MRFImageFilter Self
typedef ImageToImageFilter<
TInputImage, TClassifiedImage > 		Superclass
typedef SmartPointer< Self > Pointer
typedef SmartPointer< const
Self > 		ConstPointer
typedef Superclass::OutputImagePointer OutputImagePointer
typedef TInputImage InputImageType
typedef TInputImage::Pointer InputImagePointer
typedef TInputImage::ConstPointer InputImageConstPointer
typedef TInputImage::PixelType InputImagePixelType
typedef TInputImage::RegionType InputImageRegionType
typedef ImageRegionIterator<
TInputImage > 		InputImageRegionIterator
typedef ImageRegionConstIterator<
TInputImage > 		InputImageRegionConstIterator
typedef TClassifiedImage::Pointer TrainingImagePointer
typedef TClassifiedImage::PixelType TrainingImagePixelType
typedef TClassifiedImage::Pointer LabelledImagePointer
typedef TClassifiedImage::PixelType LabelledImagePixelType
typedef TClassifiedImage::RegionType LabelledImageRegionType
typedef TClassifiedImage::IndexType LabelledImageIndexType
typedef LabelledImageIndexType::IndexValueType IndexValueType
typedef TClassifiedImage::OffsetType LabelledImageOffsetType
typedef ImageRegionIterator<
TClassifiedImage > 		LabelledImageRegionIterator
typedef ImageClassifierBase<
TInputImage, TClassifiedImage > 		ClassifierType
typedef TInputImage::SizeType SizeType
typedef TInputImage::SizeType NeighborhoodRadiusType
typedef ConstNeighborhoodIterator<
TInputImage > 		InputImageNeighborhoodIterator
typedef InputImageNeighborhoodIterator::RadiusType InputImageNeighborhoodRadiusType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<
TInputImage > 		InputImageFacesCalculator
typedef InputImageFacesCalculator::FaceListType InputImageFaceListType
typedef InputImageFaceListType::iterator InputImageFaceListIterator
typedef NeighborhoodIterator<
TClassifiedImage > 		LabelledImageNeighborhoodIterator
typedef LabelledImageNeighborhoodIterator::RadiusType LabelledImageNeighborhoodRadiusType
typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<
TClassifiedImage > 		LabelledImageFacesCalculator
typedef LabelledImageFacesCalculator::FaceListType LabelledImageFaceListType
typedef LabelledImageFaceListType::iterator LabelledImageFaceListIterator

Public Methods

virtual const char * GetClassName () const
 itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
 itkStaticConstMacro (ClassifiedImageDimension, unsigned int, TClassifiedImage::ImageDimension)
void SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
void SetNeighborhoodRadius (const NeighborhoodRadiusType &)
void SetNeighborhoodRadius (const unsigned long)
void SetNeighborhoodRadius (const unsigned long *radiusArray)
const NeighborhoodRadiusType GetNeighborhoodRadius () const
virtual void SetNumberOfClasses (unsigned int _arg)
virtual unsigned int GetNumberOfClasses ()
virtual void SetMaximumNumberOfIterations (unsigned int _arg)
virtual unsigned int GetMaximumNumberOfIterations ()
virtual void SetErrorTolerance (double _arg)
virtual double GetErrorTolerance ()
virtual void SetSmoothingFactor (double _arg)
virtual double GetSmoothingFactor ()
virtual void SetMRFNeighborhoodWeight (std::vector< double > BetaMatrix)
virtual std::vector< double > GetMRFNeighborhoodWeight ()

Static Public Methods

Pointer New ()

Protected Types

typedef Image< int, itkGetStaticConstMacro(InputImageDimension) LabelStatusImageType )
typedef LabelStatusImageType::IndexType LabelStatusIndexType
typedef LabelStatusImageType::RegionType LabelStatusRegionType
typedef LabelStatusImageType::Pointer LabelStatusImagePointer
typedef ImageRegionIterator<
LabelStatusImageType > 		LabelStatusImageIterator
typedef NeighborhoodIterator<
LabelStatusImageType > 		LabelStatusImageNeighborhoodIterator

Protected Methods

 MRFImageFilter ()
 ~MRFImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const
void Allocate ()
virtual void ApplyMRFImageFilter ()
virtual void MinimizeFunctional ()
virtual void DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual void GenerateOutputInformation ()

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 gets the 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 a 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 functions be 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 is same as the input image dimension and values of the weighting parameters are either specified by the user through the beta matrix parameter. The default weighting table is generated during object construction. The following table shows an example of a 3x3x3 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, while a weight 1.3 is assigned to the influence of the north, south, east, west and diagonal pixels in the previous and next slices.

The user needs to set the neighborhood size using the SetNeighborhoodRadius functions. 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 with 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 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.

See also:
Neighborhood , ImageIterator , NeighborhoodIterator , Classifier

Definition at line 128 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 198 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 136 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 184 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 148 of file itkMRFImageFilter.h.

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

Definition at line 220 of file itkMRFImageFilter.h.

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

Definition at line 217 of file itkMRFImageFilter.h.

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

Definition at line 214 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 208 of file itkMRFImageFilter.h.

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

Definition at line 211 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 151 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 147 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 158 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 157 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 154 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 146 of file itkMRFImageFilter.h.

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

Definition at line 236 of file itkMRFImageFilter.h.

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

Definition at line 233 of file itkMRFImageFilter.h.

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

Definition at line 230 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 183 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 224 of file itkMRFImageFilter.h.

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

Definition at line 227 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 187 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 176 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 172 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 191 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 180 of file itkMRFImageFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef ImageRegionIterator< LabelStatusImageType > itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageIterator [protected]
 

Definition at line 318 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 322 of file itkMRFImageFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef LabelStatusImageType::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImagePointer [protected]
 

Definition at line 316 of file itkMRFImageFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef Image<int,itkGetStaticConstMacro(InputImageDimension) itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageType) [protected]
 

Definition at line 313 of file itkMRFImageFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef LabelStatusImageType::IndexType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusIndexType [protected]
 

Definition at line 314 of file itkMRFImageFilter.h.

template<class TInputImage, class TClassifiedImage>
typedef LabelStatusImageType::RegionType itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusRegionType [protected]
 

Definition at line 315 of file itkMRFImageFilter.h.

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

Radius typedef support.

Definition at line 204 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 137 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 135 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 133 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 201 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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

Definition at line 134 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.

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

Definition at line 168 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 165 of file itkMRFImageFilter.h.

Constructor & Destructor Documentation

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

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

Member Function Documentation

template<class TInputImage, class TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::Allocate (    )  [protected]
 

Allocate memory for labelled images.

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

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

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.

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

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

template<class TInputImage, class TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::EnlargeOutputRequestedRegion (  DataObject *    )  [protected, virtual]
 

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.

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

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

This method causes the filter to generate its output.

Reimplemented from itk::ImageSource< TClassifiedImage >.

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

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

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

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

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

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

Generate the information decribing 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.

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

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

Run-time type information (and related methods).

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

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

template<class TInputImage, class TClassifiedImage>
virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetErrorTolerance (    )  [virtual]
 

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

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

template<class TInputImage, class TClassifiedImage>
virtual unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations (    )  [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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

template<class TInputImage, class TClassifiedImage>
virtual std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetMRFNeighborhoodWeight (    )  [inline, 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.

Definition at line 290 of file itkMRFImageFilter.h.

References HardConnectedComponentImageFilter::PrintSelf().

template<class TInputImage, class TClassifiedImage>
const NeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNeighborhoodRadius (    )  const [inline]
 

Get the neighborhood radius

Definition at line 274 of file itkMRFImageFilter.h.

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

Set/Get the number of classes.

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

template<class TInputImage, class TClassifiedImage>
virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetSmoothingFactor (    )  [virtual]
 

Set/Get the degree of smoothing desired

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

Labelled Image dimension

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

Image dimension

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

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

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

Minimization algorithm to be used.

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

template<class TInputImage, class TClassifiedImage>
Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::New (    )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::Object.

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

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

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

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

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

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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and 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 unsigned long *    radiusArray ) 
 

template<class TInputImage, class TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius (  const unsigned    long ) 
 

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 NeighborhoodRadiusType &    ) 
 

Set the neighborhood radius

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::GibbsPriorFilter< TInputImage, TClassifiedImage >, and 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

The documentation for this class was generated from the following file:
Generated at Fri May 21 01:47:14 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000