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itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage > Class Template Reference
[Region Growing Filters]

Base class for a region growing object that performs energy-based region growing for multiband images. More...

#include <itkKLMRegionGrowImageFilter.h>

Inheritance diagram for itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >:

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Collaboration diagram for itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >:

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List of all members.

Public Types

typedef KLMRegionGrowImageFilter Self
typedef RegionGrowImageFilter<
TInputImage, TOutputImage > 		Superclass
typedef SmartPointer< Self > Pointer
typedef SmartPointer< const
Self > 		ConstPointer
typedef TInputImage InputImageType
typedef TInputImage::Pointer InputImagePointer
typedef TInputImage::ConstPointer InputImageConstPointer
typedef TInputImage::PixelType InputImagePixelType
typedef TInputImage::PixelType::VectorType InputImageVectorType
typedef TInputImage::IndexType InputImageIndexType
typedef ImageRegionIterator<
TInputImage > 		InputImageIterator
typedef ImageRegionConstIterator<
TInputImage > 		InputImageConstIterator
typedef TInputImage::RegionType InputRegionType
typedef Superclass::GridSizeType GridSizeType
typedef TOutputImage OutputImageType
typedef TOutputImage::Pointer OutputImagePointer
typedef TOutputImage::PixelType OutputImagePixelType
typedef TOutputImage::PixelType::VectorType OutputImageVectorType
typedef TOutputImage::IndexType OutputImageIndexType
typedef ImageRegionIterator<
TOutputImage > 		OutputImageIterator
typedef KLMSegmentationRegion::RegionLabelType RegionLabelType
typedef Image< RegionLabelType,
itkGetStaticConstMacro(LabelImageDimension) 		LabelImageType )
typedef LabelImageType::Pointer LabelImagePointer
typedef LabelImageType::PixelType LabelImagePixelType
typedef LabelImageType::IndexType LabelImageIndexType
typedef ImageRegionIterator<
LabelImageType > 		LabelImageIterator
typedef vnl_vector< double > MeanRegionIntensityType
typedef KLMSegmentationBorder BorderType
typedef KLMDynamicBorderArray<
BorderType > 		KLMSegmentationBorderArrayPtr
enum  { SameDimension = 0 }

Public Member Functions

virtual const char * GetNameOfClass () const
 itkStaticConstMacro (InputImageVectorDimension, unsigned int, InputImagePixelType::Dimension)
 itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
 itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)
 itkStaticConstMacro (OutputImageVectorDimension, unsigned int, OutputImagePixelType::Dimension)
 itkStaticConstMacro (LabelImageDimension, RegionLabelType, InputImageDimension)
LabelImagePointer GetLabelledImage (void)
void PrintAlgorithmRegionStats (void)
void PrintAlgorithmBorderStats (void)
virtual void SetMaximumLambda (double _arg)
virtual const double & GetMaximumLambda ()
virtual void SetNumberOfRegions (unsigned int _arg)
virtual const unsigned int & GetNumberOfRegions ()

Static Public Member Functions

Pointer New ()

Protected Member Functions

 KLMRegionGrowImageFilter ()
 ~KLMRegionGrowImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
void ApplyRegionGrowImageFilter ()
virtual void MergeRegions ()
virtual void GenerateOutputImage ()
void ApplyKLM ()
void InitializeKLM ()
LabelImagePointer GenerateLabelledImage (LabelImageType *labelImagePtr)
virtual void InitializeRegionParameters (InputRegionType region)
virtual void ResolveRegions ()

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >

Base class for a region growing object that performs energy-based region growing for multiband images.

itkKLMRegionGrowImageFilter is the base class for the KLMRegionGrowImageFilter objects. This object performs energy-based region growing for multiband images. Since this is based on G. Koepfler,C. Lopez and J. M. Morel's work described below, the acronym KLM is added at the end of the object name.

The ApplyRegionGrowImageFilter() function implements the segmentation algorithm that partitions the input image into non-overlapping regions by minimizing an energy functional which trades off the similarity of regions against the length of their shared boundary. The heart of the process relies on the MergeRegion() method that calls a private function to perform the merging of region based on the piecewise constant KLM algorithm for region merging. For extensibility purposes, the MergeRegion() function is made virtual. Extensions can be made possible using function overloading or overriding the virtual function in a derived class. It starts by breaking the image into many small regions and fitting the regions to a polynomial model. The algorithm iteratively merges into one region the two adjoining regions which are most alike in terms of the specified polynomial model given the length of the border between the two regions. Internally, the energy functional is evaluated using a Lagrangian parameter called lambda which is also called the scale parameter as it controls the coarseness of the segmentation where a small value of lambda corresponds to a finer segmentation with more regions and a large value corresponds to a coarse segmentation with fewer regions. Since the algorithm grows regions by merging like regions, the internal value of lambda increases as the number of regions decreases.

The user can stop the merging of regions using the SetMaximumNumberOfRegions() and SetMaximumLambda() functions. The SetMaximumNumberOfRegions() function is publicly inherited from its base class and internally sets the m_MaximumNumberOfRegions parameter. The SetMaximumLambda() function sets the m_MaximumLambda parameter. If the number of regions in the image is equal to m_MaximumNumberOfRegions or if the internal energy functional becomes greater than m_MaximumLambda, then the merging iterations will stop. Note that a larger energy function value for m_MaximumLambda will result in fewer boundaries and fewer regions, while a smaller value for m_MaximumLambda will result in more boundaries and more regions. To have m_MaximumNumberOfRegions control exactly the number of output regions, m_MaximumLamda should be set to a very large number. To have m_MaximumLambda control exactly the number of output regions, m_MaximumNumberOfRegions should be set to 2. As a default value, m_MaximumLambda is set to 1000 and m_MaximumNumberOfRegions is set to 2.

Currently implementation puts equal weight to the multichannel values. In future improvements we plan to allow the user to control the weights associated with each individual channels.

It is templated over the type of input and output image. This object supports data handling of multiband images. The object accepts images in vector format, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. We expect the user to provide the input to the routine in vector format. A single band image is treated as a vector image with a single element for every vector.

This algorithm implementation takes a multiband image stored in vector format as input and produces two outputs. Using the ImageToImageFilter, the piecewise constant approximation image is the output calculated using the process update mechanism. The second output, i.e., the image with the region labels (segmentation image) is returned at users request by calling GetLabelledImage() function. This function returns a reference to the labelled image determined using the KLM algorithm. The algorithm supports 2D and 3D data sets only. The input image dimensions must be exact multiples of the user specified gridsizes. Appropriate padding must be performed by the user if any image which are not multiples of the gridsizes are used.

For more information about the algorithm, see G. Koepfler, C. Lopez and J. M. Morel, ``A Multiscale Algorithm for Image Segmentation by Variational Method,'' {SIAM Journal of Numerical Analysis}, vol. 31, pp. 282-299, 1994.

Algorithm details:

This function segments a two-dimensional input image into non-overlapping atomic regions $ O_i, i=1,2,\ldots,N $, where $ N $ is the total number of region, by minimizing the following energy functional (also known as the simplified Mumford and Shah functional): $ E(u,K)=\int_{\Omega-K}||u(r,c)-g(r,c)||^2{d{\Omega}}+\lambda\cdot{L(K)} $, where $ \Omega $ denotes the domain of an image, $ g(r,c) $ is the input image, and $ u(r,c) $ is an approximation of $ g(r,c) $. Furthermore, $ u(r,c) $ is defined to be piecewise constant in regions $ O_i $. If $ \partial O_i $ represents the boundary of the region, $ K=\bigcup_{i=1}^N\partial{O_i} $ denotes the set of all region boundaries and $ L(K) $ is the total length of the boundaries. The parameter $ \lambda $ controls the coarseness of the segmentation (i.e. a larger $ \lambda $ will result in fewer boundaries).

Starting with small, piecewise-constant initial regions the algorithm iteratively merges the two adjacent regions $ O_i $ and $ O_j $ which most decrease the energy functional. In other words, the merging criterion is based on the difference between the current energy $ E(u,K) $ and the energy that would result after a merge, $ E(\hat{u},K-\partial(O_i,O_j)) $, where $ \hat{u} $ is the piecewise constant approximation of the input image $ g $, and $ \partial(O_i,O_j) $ is the common boundary between region $ O_i $ and $ O_j $. It can be shown that $ E(u,K)-E(\hat{u},K-\partial(O_i,O_j))= \lambda\cdot{L(\partial(O_i,O_j))}- {(|O_i| \cdot |O_j|)\over (|O_i|+|O_j|)} ||c_i-c_j||^2 $.

Once two regions are merged the following update equations are used to calculated the constant approximation of the new region:

$ c_{i,j} = (c_i |O_i| + c_j |O_j|) \over (|O_i| + |O_j|) $.

Again, the merging of regions continues until the desired number of regions has been reached or until the desired coarseness (specified by the scale parameter $ \lambda $) has been reached.

The two outputs are possible to derive from the object: (1) u, the piecewise constant approximation (mean of the regions) to the input image set; This is currently generated by the process object pipeline and the (2) the labelled regions in the input image set is generated by the GetLabelledImage() function.

Definition at line 168 of file itkKLMRegionGrowImageFilter.h.

Member Typedef Documentation

template<class TInputImage, class TOutputImage>
typedef KLMSegmentationBorder itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::BorderType
 

Type definition for the smart border type.

Definition at line 278 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef SmartPointer< const Self > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ConstPointer
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 175 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef Superclass::GridSizeType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GridSizeType
 

Type definition for the input grid size type used to create initial atomic regions.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 210 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageRegionConstIterator< TInputImage > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageConstIterator
 

Definition at line 203 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::ConstPointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageConstPointer
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 186 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::IndexType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageIndexType
 

Type definition for the input image index type.

Definition at line 199 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageRegionIterator< TInputImage > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageIterator
 

Type definition for the image iterators to be used.

Definition at line 202 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::PixelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImagePixelType
 

Type definition for the input image pixel type.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 189 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImagePointer
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 185 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageType
 

Type definition for the input image.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 184 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::PixelType::VectorType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageVectorType
 

Type definition for the input image pixel vector type.

Definition at line 192 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::RegionType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputRegionType
 

Type definition for the image region type.

Definition at line 206 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef KLMDynamicBorderArray< BorderType > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationBorderArrayPtr
 

Type definition for the smart border pointers object.

Definition at line 281 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LabelImageType::IndexType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageIndexType
 

Type definition for the labelled image index type.

Definition at line 269 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageRegionIterator< LabelImageType > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageIterator
 

Type definition for the labelled image iterators.

Definition at line 272 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LabelImageType::PixelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImagePixelType
 

Type definition for the labelled image pixel type.

Definition at line 266 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LabelImageType::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImagePointer
 

Type definition for the labelled image pointer.

Definition at line 263 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef Image< RegionLabelType, itkGetStaticConstMacro(LabelImageDimension) itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageType)
 

Type definition for the labelled image pixel type.

Definition at line 260 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef vnl_vector< double > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::MeanRegionIntensityType
 

Storage type for the mean region intensity.

Definition at line 275 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage::IndexType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageIndexType
 

Type definition for the output image index type.

Definition at line 235 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageRegionIterator< TOutputImage > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageIterator
 

Type definition for the output image iterators.

Definition at line 238 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage::PixelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImagePixelType
 

Type definition for the output image pixel type.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 225 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImagePointer
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 214 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageType
 

Type definition for the output image.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 213 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage::PixelType::VectorType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageVectorType
 

Type definition for the output image pixel vector type.

Definition at line 228 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef SmartPointer< Self > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::Pointer
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 174 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef KLMSegmentationRegion::RegionLabelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::RegionLabelType
 

type definition for the region label type.

Definition at line 253 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef KLMRegionGrowImageFilter itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::Self
 

Standard class typedefs.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 172 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef RegionGrowImageFilter< TInputImage, TOutputImage > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::Superclass
 

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

Definition at line 173 of file itkKLMRegionGrowImageFilter.h.

Member Enumeration Documentation

template<class TInputImage, class TOutputImage>
anonymous enum
 

The dimensions of the input image must equal those of the output image.

Enumeration values:
SameDimension 

Definition at line 243 of file itkKLMRegionGrowImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMRegionGrowImageFilter (   )  [protected]
 

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::~KLMRegionGrowImageFilter (   )  [protected]
 

Member Function Documentation

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ApplyKLM (   )  [protected]
 

Function that calls the KLM region growing algorithm.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ApplyRegionGrowImageFilter (   )  [protected, virtual]
 

This is the interface function that calls the specific algorithm implementation of region growing.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

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

KLMRegionGrowImageFilter will produce all of the output. Therefore it must provide an implementation of EnlargeOutputRequestedRegion().

See also:
ProcessObject::EnlargeOutputRequestedRegion()

Reimplemented from itk::ProcessObject.

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

Standard pipeline method.

Reimplemented from itk::ImageSource< TOutputImage >.

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

KLMRegionGrowImageFilter needs the entire input. Therefore it must provide an implementation GenerateInputRequestedRegion().

See also:
ProcessObject::GenerateInputRequestedRegion().

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

template<class TInputImage, class TOutputImage>
LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateLabelledImage (  LabelImageType *  labelImagePtr  )  [protected]
 

Generate the labelled image.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateOutputImage (   )  [protected, virtual]
 

Generate output approximated image.

template<class TInputImage, class TOutputImage>
LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetLabelledImage (  void   ) 
 

Generate labelled image.

template<class TInputImage, class TOutputImage>
virtual const double& itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetMaximumLambda (   )  [virtual]
 

Set/Get the desired threshold parameter for lambda. See itkSegmentationBorder documentation for details regarding this parameter.

template<class TInputImage, class TOutputImage>
virtual const char* itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetNameOfClass (   )  const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>
virtual const unsigned int& itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetNumberOfRegions (   )  [virtual]
 

Set/Get the desired number of regions.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeKLM (   )  [protected]
 

Initialize the RegionGrowImageFilter algorithm.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeRegionParameters (  InputRegionType  region  )  [protected, virtual]
 

Calculate the statistics representing the region. In this case we compute the mean region intensity and the area of the initial N-dimensional rectangular area. This is the function that can be overriden in order to enable a different statistical representation for region initialization.

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  LabelImageDimension  ,
RegionLabelType  ,
InputImageDimension 
) 
 

The dimension of the labelled image.

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  OutputImageVectorDimension  ,
unsigned  int,
OutputImagePixelType::Dimension 
) 
 

OutputImageVectorDimension enumeration.

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  OutputImageDimension  ,
unsigned  int,
TOutputImage::ImageDimension 
) 
 

OutputImageDimension enumeration.

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

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  InputImageDimension  ,
unsigned  int,
TInputImage::ImageDimension 
) 
 

InputImageDimension enumeration.

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

template<class TInputImage, class TOutputImage>
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  InputImageVectorDimension  ,
unsigned  int,
InputImagePixelType::Dimension 
) 
 

InputImageVectorDimension enumeration.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::MergeRegions (   )  [protected, virtual]
 

Function to merge two regions. The smaller label is always assigned to the new region. This is consistent with the connected components algorithm.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>
Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::New (   )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::PrintAlgorithmBorderStats (  void   ) 
 

Function that prints all the border information.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::PrintAlgorithmRegionStats (  void   ) 
 

Function that prints all the region information.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::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::RegionGrowImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ResolveRegions (   )  [protected, virtual]
 

Function to resolve the region labels to be consecutively ordered. Each initial atomic region is given a new label and the aggregrate region area and mean intensity.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::SetMaximumLambda (  double  _arg  )  [virtual]
 

Set/Get the desired threshold parameter for lambda. See itkSegmentationBorder documentation for details regarding this parameter.

template<class TInputImage, class TOutputImage>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::SetNumberOfRegions (  unsigned int  _arg  )  [virtual]
 

Set/Get the desired number of regions.

The documentation for this class was generated from the following file:
Generated at Thu May 25 01:32:39 2006 for ITK by doxygen 1.3.5 written by Dimitri van Heesch, © 1997-2000