ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Types | Private Member Functions | Private Attributes
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkKLMRegionGrowImageFilter.h>

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

List of all members.

Public Types

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

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
LabelImagePointer GetLabelledImage (void)
virtual const char * GetNameOfClass () const
void PrintAlgorithmBorderStats (void)
void PrintAlgorithmRegionStats (void)
 typedef (Concept::HasNumericTraits< typename InputImagePixelType::ValueType >) InputHasNumericTraitsCheck
 typedef (Concept::SameDimension< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >) SameDimension
virtual void SetMaximumLambda (double _arg)
virtual const double & GetMaximumLambda ()
virtual void SetNumberOfRegions (unsigned int _arg)
virtual const unsigned int & GetNumberOfRegions ()

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int InputImageDimension = TInputImage::ImageDimension
static const unsigned int InputImageVectorDimension = InputImagePixelType::Dimension
static const RegionLabelType LabelImageDimension = InputImageDimension
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
static const unsigned int OutputImageVectorDimension = OutputImagePixelType::Dimension

Protected Member Functions

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

Private Types

typedef TInputImage::SizeType InputImageSizeType
typedef
KLMSegmentationBorder::Pointer 
KLMSegmentationBorderPtr
typedef
KLMSegmentationRegion::Pointer 
KLMSegmentationRegionPtr

Private Member Functions

 KLMRegionGrowImageFilter (const Self &)
void operator= (const Self &)

Private Attributes

KLMSegmentationBorderArrayPtrm_BorderCandidate
std::vector
< KLMSegmentationBorderArrayPtr
m_BordersDynamicPointer
std::vector
< KLMSegmentationBorderPtr
m_BordersPointer
unsigned int m_InitialNumberOfRegions
double m_InitialRegionArea
MeanRegionIntensityType m_InitialRegionMean
double m_InternalLambda
double m_MaximumLambda
unsigned int m_NumberOfRegions
std::vector
< KLMSegmentationRegionPtr
m_RegionsPointer
double m_TotalBorderLength

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))}- {\frac{(|O_i| \cdot |O_j|)}{(|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} = \frac{(c_i |O_i| + c_j |O_j|)}{(|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 165 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 263 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef SmartPointer< const Self > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ConstPointer
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 207 of file itkKLMRegionGrowImageFilter.h.

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

Definition at line 200 of file itkKLMRegionGrowImageFilter.h.

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

Type definition for the input image index type.

Definition at line 196 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 199 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 186 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImagePointer
template<class TInputImage , class TOutputImage >
typedef TInputImage::SizeType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageSizeType [private]

Definition at line 365 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 178 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 189 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 203 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 266 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef KLMSegmentationBorder::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationBorderPtr [private]

Definition at line 367 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef KLMSegmentationRegion::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationRegionPtr [private]

Definition at line 366 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 254 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 257 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 251 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 248 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 245 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 260 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 232 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 235 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 222 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImagePointer
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 210 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 225 of file itkKLMRegionGrowImageFilter.h.

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

type definition for the region label type.

Definition at line 238 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 169 of file itkKLMRegionGrowImageFilter.h.

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

Constructor & Destructor Documentation

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

End concept checking

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

End concept checking

template<class TInputImage , class TOutputImage >
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMRegionGrowImageFilter ( const Self ) [private]

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.

Implements itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

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 >
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.

Implements itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

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

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::operator= ( const Self ) [private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::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]

End concept checking

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.

template<class TInputImage , class TOutputImage >
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< typename InputImagePixelType::ValueType >  )

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename InputImagePixelType::ValueType > )

template<class TInputImage , class TOutputImage >
itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::typedef ( Concept::SameDimension< itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >  )

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


Member Data Documentation

template<class TInputImage , class TOutputImage >
const unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageDimension = TInputImage::ImageDimension [static]

InputImageDimension enumeration.

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

Definition at line 215 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageVectorDimension = InputImagePixelType::Dimension [static]

InputImageVectorDimension enumeration.

Definition at line 193 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
const RegionLabelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageDimension = InputImageDimension [static]

The dimension of the labelled image.

Definition at line 242 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
KLMSegmentationBorderArrayPtr* itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BorderCandidate [private]

Definition at line 381 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
std::vector< KLMSegmentationBorderArrayPtr > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BordersDynamicPointer [private]

Definition at line 380 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
std::vector< KLMSegmentationBorderPtr > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BordersPointer [private]

Definition at line 379 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialNumberOfRegions [private]

Definition at line 375 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialRegionArea [private]

Definition at line 384 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
MeanRegionIntensityType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialRegionMean [private]

Definition at line 383 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InternalLambda [private]

Local variables.

Definition at line 374 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_MaximumLambda [private]

Definition at line 369 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_NumberOfRegions [private]

Definition at line 370 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
std::vector< KLMSegmentationRegionPtr > itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_RegionsPointer [private]

Definition at line 378 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_TotalBorderLength [private]

Definition at line 376 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension [static]

OutputImageDimension enumeration.

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

Definition at line 219 of file itkKLMRegionGrowImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageVectorDimension = OutputImagePixelType::Dimension [static]

OutputImageVectorDimension enumeration.

Definition at line 229 of file itkKLMRegionGrowImageFilter.h.


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