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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:

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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 TInputImage::OffsetType InputImageOffsetType
typedef ImageRegionIterator<
TInputImage > 		InputImageIterator
typedef ImageRegionConstIterator<
TInputImage > 		InputImageConstIterator
typedef TOutputImage OutputImageType
typedef TOutputImage::Pointer OutputImagePointer
typedef TOutputImage::PixelType OutputImagePixelType
typedef TOutputImage::IndexType OutputImageIndexType
typedef TOutputImage::OffsetType OutputImageOffsetType
typedef ImageRegionIterator<
TOutputImage > 		OutputImageIterator
typedef TOutputImage::PixelType::VectorType OutputImageVectorType
typedef Image< unsigned short,
itkGetStaticConstMacro(LabelImageDimension) 		LabelImageType )
typedef LabelImageType::Pointer LabelImagePointer
typedef LabelImageType::PixelType LabelImagePixelType
typedef LabelImageType::IndexType LabelImageIndexType
typedef LabelImageType::OffsetType LabelImageOffsetType
typedef ImageRegionIterator<
LabelImageType > 		LabelImageIterator
typedef vnl_matrix< double > VecDblType
typedef KLMSegmentationBorder BorderType
typedef KLMDynamicBorderArray<
BorderType > 		SegmentationBorderPtr

Public Methods

virtual const char * GetClassName () const
 itkStaticConstMacro (LabelImageDimension, unsigned int, TInputImage::ImageDimension)
virtual void SetMaxLambda (unsigned int _arg)
virtual unsigned int GetMaxLambda ()
LabelImagePointer GetLabelledImage (void)
void PrintAlgorithmRegionStats (void)
void PrintAlgorithmBorderStats (void)
void PrintAlgorithmBorderStats (bool smartBorderPointerUseFlag)
virtual void CalculateInitRegionStats (int regionRowIndex, int regionColIndex, int regionRowGridSize, int regionColGridSize)
virtual void CalculateInitRegionStats (int regionRowIndex, int regionColIndex, int regionSliceIndex, int regionRowGridSize, int regionColGridSize, int regionSliceGridSize)

Static Public Methods

Pointer New ()

Protected Methods

 KLMRegionGrowImageFilter ()
 ~KLMRegionGrowImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const
virtual void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual void GenerateOutputInformation ()
void ApplyRegionGrowImageFilter ()
virtual void MergeRegions ()
void GenerateOutputImage (unsigned int imgWidth, unsigned int imgHeight)
void GenerateOutputImage (unsigned int imgWidth, unsigned int imgHeight, unsigned int imgDepth)
void ApplyKLM ()
void InitializeKLM (unsigned int imgWidth, unsigned int imgHeight)
void InitializeKLM (unsigned int imgWidth, unsigned int imgHeight, unsigned int imgDepth)
LabelImagePointer localfn_generate_labeled2Dimage (LabelImageType *labelImagePtr)
LabelImagePointer localfn_generate_labeled3Dimage (LabelImageType *labelImagePtr)

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 performes 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 prcess relies on the MergeRegion() method that calls a private function to perform the merging of region based on the piecewise constance KLM algorithm for region merging. For extensibiltiy purposes, the MergeRegion() function is made virtual. Extensions can be made possible using function overloading or overriding the virutual 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 SetMaxNumRegions() and SetLambda() functions. The SetMaxNumRegions() fuction is publicly inherited from its base class and internally sets the m_MaxNumRegions parameter. The SetLambda() function sets the m_Lambda parameter. If the number of regions in the image is equal to m_MaxNumRegions or if the internal energy functional becomes greater than m_Lambda, then the merging iterations will stop. Note that a larger value for m_Lambda will result in fewer boundaries and fewer regions, while a smaller value for m_Lambda will result in more boundaries and more regions. To have m_MaxNumRegions control exactly the number of output regions, m_Lamda should be set to a very large number. To have m_Lambda control exactly the number of output regions, m_MaxNumRegions should be set to 2. As a default value the maximum lambda value is set to 1000 and m_MaxNumRegions is set to 2 as default.

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 mutliples 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 regions $O_i$, i=1,2,...,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 $

tial O_i$ represents the boundary of the region,
$K=\bigcup_{i=1}^N
tial{O_i}$ 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, $E(\hat{u},K-
tial(O_i,O_j))$,
where $\hat{u}$ is the piecewise constant approximation of the input image g, and $
tial(O_i,O_j)$ is the common boundary
between region $O_i$ and $O_j$. It can be shown that $E(u,K)-E(\hat{u},K-
tial(O_i,O_j))=
\lambda\cdot{L(
tial(O_i,O_j))}-
{(|O_i| \cdot |O_j|)\over (|O_i|+|O_j|)} ||c_i-c_j||^2$.
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 156 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 237 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 163 of file itkKLMRegionGrowImageFilter.h.

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

Definition at line 190 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 174 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 183 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 189 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TInputImage::OffsetType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageOffsetType
 

Type definition for the input image offset type.

Definition at line 186 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 177 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 173 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 172 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 180 of file itkKLMRegionGrowImageFilter.h.

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

Type definition for the output image index type.

Definition at line 225 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 231 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LabelImageType::OffsetType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageOffsetType
 

Type definition for the output image offset type.

Definition at line 228 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 222 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 219 of file itkKLMRegionGrowImageFilter.h.

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

Type definition for the labelled image pixel type.

Definition at line 216 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 200 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 206 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef TOutputImage::OffsetType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageOffsetType
 

Type definition for the output image offset type.

Definition at line 203 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 197 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 194 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 193 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 209 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 162 of file itkKLMRegionGrowImageFilter.h.

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

Type definition for the smart border pointers object.

Definition at line 240 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 160 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 161 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef vnl_matrix<double> itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::VecDblType
 

Storage type for the mean region intensity.

Definition at line 234 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 >::CalculateInitRegionStats (  int    regionRowIndex,
int    regionColIndex,
int    regionSliceIndex,
int    regionRowGridSize,
int    regionColGridSize,
int    regionSliceGridSize
)  [virtual]
 

Calculate the statistics representing the 3D regions. In this case we comput the mean region intensity and the volume of the initial 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>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::CalculateInitRegionStats (  int    regionRowIndex,
int    regionColIndex,
int    regionRowGridSize,
int    regionColGridSize
)  [virtual]
 

Calculate the statistics representing the 2D regions. In this case we compute the mean region intensity and the area of the initial 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>
virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::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.

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

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

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 this imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

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

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

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateOutputImage (  unsigned int    imgWidth,
unsigned int    imgHeight,
unsigned int    imgDepth
)  [protected]
 

Generate output approximated image.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateOutputImage (  unsigned int    imgWidth,
unsigned int    imgHeight
)  [protected]
 

Generate output approximated image.

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

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

Run-time type information (and related methods).

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

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

Generate labelled image.

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

Get the maximum lambda value set by the user.

template<class TInputImage, class TOutputImage>
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeKLM (  unsigned int    imgWidth,
unsigned int    imgHeight,
unsigned int    imgDepth
)  [protected]
 

Initialize the RegionGrowImageFilter algorithm (2D case)

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

Initialize the RegionGrowImageFilter algorithm (2D case).

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

The dimension of the labeled image.

template<class TInputImage, class TOutputImage>
LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::localfn_generate_labeled2Dimage (  LabelImageType *    labelImagePtr )  [protected]
 

Generate the labeled image for a 2D image.

template<class TInputImage, class TOutputImage>
LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::localfn_generate_labeled3Dimage (  LabelImageType *    labelImagePtr )  [protected]
 

Generate the labeled image for a 3D image.

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

Function responsible for merging two regions using energy-based regions growing criteria until the desired number of regions has been reached. When merging 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 (  bool    smartBorderPointerUseFlag ) 
 

Function that prints all the border information.

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 >::SetMaxLambda (  unsigned int    _arg )  [virtual]
 

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

The documentation for this class was generated from the following file:
Generated at Fri May 21 01:46:38 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000