#include <itkVoronoiSegmentationImageFilter.h>

Inheritance diagram for itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >:

Collaboration diagram for itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >:

Public Types
typedef Superclass::BinaryObjectImage	BinaryObjectImage
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::IndexList	IndexList
typedef Superclass::IndexType	IndexType
typedef Superclass::InputImageType	InputImageType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RegionType	RegionType
typedef VoronoiSegmentationImageFilter	Self
typedef VoronoiSegmentationImageFilterBase < TInputImage, TOutputImage, TBinaryPriorImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual double	GetMeanPercentError () const
virtual const char *	GetNameOfClass () const
virtual double	GetSTDTolerance () const
void	SetMeanPercentError (double x)
virtual void	SetSTDTolerance (double _arg)
void	TakeAPrior (const BinaryObjectImage *aprior)
	typedef (Concept::Convertible< int, typename TOutputImage::PixelType >) IntConvertibleToOutputCheck
	typedef (Concept::SameDimension< InputImageDimension, OutputImageDimension >) SameDimensionCheck

virtual void	SetMean (double _arg)
virtual double	GetMean () const

virtual void	SetSTD (double _arg)
virtual double	GetSTD () const

virtual void	SetMeanTolerance (double _arg)
virtual double	GetMeanTolerance () const

virtual double	GetSTDPercentError () const
void	SetSTDPercentError (double x)
Static Public Member Functions
static Pointer	New ()
Static Public Attributes

static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Protected Member Functions

	VoronoiSegmentationImageFilter ()
	~VoronoiSegmentationImageFilter ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
void	operator= (const Self &)
virtual bool	TestHomogeneity (IndexList &Plist)
	VoronoiSegmentationImageFilter (const Self &)
Private Attributes
double	m_Mean
double	m_MeanPercentError
double	m_MeanTolerance
double	m_STD
double	m_STDPercentError
double	m_STDTolerance

Detailed Description

template<class TInputImage, class TOutputImage, class TBinaryPriorImage = Image< unsigned char, 2 >>
class itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >

Perform the segmentation of 2D images (single channel) by Voronoi Diagram. Used as a node of the segmentation toolkits. The homogeneity operator here is the testing of mean and standar deviation value. By setting the tolerance level, the "internal" region was defined as those that is closed to the gold-standard value in the sense that the difference is within the tolerance value.

See VoronoiSegmentationImageFilterBase for detail description of voronoi segmenation principles.

The parameters here are: 1. the estimation of the statistics of the object. (mean and std.) 2. the tolerance for the classification. (around the mean ans std. estimated value).

The parameters can also be automatically set by given a prior, as a binary image.

Detail information about this algorithm can be found in: " Semi-automated color segmentation of anatomical tissue," C. Imelinska, M. Downes, and W. Yuan Computerized Medical Imaging and Graphics, Vor.24, pp 173-180, 2000.

Definition at line 53 of file itkVoronoiSegmentationImageFilter.h.