Base class for VoronoiSegmentationImageFilter. More...

#include <itkVoronoiSegmentationImageFilterBase.h>

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

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

Public Types
typedef TBinaryPriorImage	BinaryObjectImage
typedef BinaryObjectImage::Pointer	BinaryObjectImagePointer
typedef VoronoiDiagram::CellAutoPointer	CellAutoPointer
typedef VoronoiDiagram::CellType	CellType
typedef SmartPointer< const Self >	ConstPointer
typedef VoronoiDiagram::VoronoiEdge	EdgeInfo
typedef VoronoiDiagram::VoronoiEdgeIterator	EdgeIterator
typedef std::vector< IndexType >	IndexList
typedef TInputImage::IndexType	IndexType
typedef TInputImage::ConstPointer	InputImageConstPointer
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef VoronoiDiagram::NeighborIdIterator	NeighborIdIterator
typedef TOutputImage	OutputImageType
typedef TOutputImage::PixelType	OutputPixelType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef CellType::PointIdIterator	PointIdIterator
typedef VoronoiDiagram::PointType	PointType
typedef std::deque< PointType >	PointTypeDeque
typedef std::vector< PointType >	PointTypeVector
typedef TInputImage::RegionType	RegionType
typedef VoronoiDiagram::SeedsIterator	SeedsIterator
typedef VoronoiDiagram::SeedsType	SeedsType
typedef VoronoiSegmentationImageFilterBase	Self
typedef TInputImage::SizeType	SizeType
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
typedef Image< unsigned char, 2 >	VDImage
typedef VDImage::Pointer	VDImagePointer
typedef VoronoiDiagram2D< double >	VoronoiDiagram
typedef VoronoiDiagram2DGenerator < double >	VoronoiDiagramGenerator
typedef VoronoiDiagram::Pointer	VoronoiPointer
Public Member Functions
void	BeforeNextStep (void)
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
void	DrawDiagram (VDImagePointer result, unsigned char incolor, unsigned char outcolor, unsigned char boundcolor)
virtual void	EnlargeOutputRequestedRegion (DataObject *output)
virtual void	GenerateInputRequestedRegion ()
virtual int	GetLastStepSeeds () const
virtual const char *	GetNameOfClass () const
virtual int	GetNumberOfSeedsToAdded () const
PointType	GetSeed (int SeedID)
VoronoiPointer	GetVoronoiDiagram (void)
virtual void	MakeSegmentBoundary (void)
virtual void	MakeSegmentObject (void)
void	RunSegment (void)
void	RunSegmentOneStep (void)
virtual void	TakeAPrior (const BinaryObjectImage *)

virtual void	SetNumberOfSeeds (int _arg)
virtual int	GetNumberOfSeeds () const

virtual void	SetMinRegion (int _arg)
virtual int	GetMinRegion () const

virtual void	SetSteps (int _arg)
virtual int	GetSteps () const

virtual void	SetUseBackgroundInAPrior (bool _arg)
virtual bool	GetUseBackgroundInAPrior () const

virtual void	SetOutputBoundary (bool _arg)
virtual bool	GetOutputBoundary () const

virtual void	SetInteractiveSegmentation (bool _arg)
virtual bool	GetInteractiveSegmentation () const
virtual void	InteractiveSegmentationOn ()
virtual void	InteractiveSegmentationOff ()

virtual void	SetMeanDeviation (double _arg)
virtual double	GetMeanDeviation () const

virtual void	SetSize (SizeType _arg)
virtual SizeType	GetSize () const

void	SetSeeds (int num, SeedsIterator begin)

void	SetSeeds (SeedsType &seeds)
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
virtual void	ClassifyDiagram (void)
void	drawLine (PointType p1, PointType p2)
void	drawVDline (VDImagePointer result, PointType p1, PointType p2, unsigned char color)
void	FillPolygon (PointTypeDeque vertlist, OutputPixelType color=1)
virtual void	GenerateAddingSeeds (void)
void	GenerateData (void)
void	GetPixelIndexFromPolygon (PointTypeDeque VertList, IndexList *PixelPool)
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual bool	TestHomogeneity (IndexList &)
	VoronoiSegmentationImageFilterBase ()
	~VoronoiSegmentationImageFilterBase ()
Protected Attributes
bool	m_InteractiveSegmentation
std::vector< unsigned char >	m_Label
int	m_LastStepSeeds
double	m_MeanDeviation
int	m_MinRegion
int	m_NumberOfBoundary
std::vector< int >	m_NumberOfPixels
int	m_NumberOfSeeds
int	m_NumberOfSeedsToAdded
bool	m_OutputBoundary
std::vector< PointType >	m_SeedsToAdded
SizeType	m_Size
int	m_Steps
bool	m_UseBackgroundInAPrior
VoronoiDiagramGenerator::Pointer	m_VDGenerator
VoronoiDiagram::Pointer	m_WorkingVD
Private Member Functions
void	operator= (const Self &)
	VoronoiSegmentationImageFilterBase (const Self &)

Detailed Description

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

Base class for VoronoiSegmentationImageFilter.

Voronoi SegmentationImageFilter is a class of segmenation algorithms that works on 2D image. Begin with certain number of seeds, VoronoiSegmentationImageFilter first partition the image plane to voronoi regions, and testing each region by some homogeneity operators, which need to be implemented in the private method: virtual bool TestHomogeneity(IndexList &Plist); after testing, all the regions are classified as either "internal" or "external" region and the "boundary" regions was defined as an "external" region that has at least one "internal" region as its neighbor. the algorithm then added seed points to the "boundary" regions (on the edges) and recursively "split" the boundary region until all the "boundary" become sufficiently small. the output of the segmentation can be either a binary object, which is the collection of all the "internal" region. Or a binary boundary delineate, which is defined as the connected lines between seed points of "boundary" region. This class is a base class for voronoi segmenation, single channel or multiple channel image segmenation can be implemented by deriving imagefilters from this class, by implementing the virtual methods

Detailed 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 59 of file itkVoronoiSegmentationImageFilterBase.h.