#include <itkDanielssonDistanceMapImageFilter.h>

Inheritance diagram for itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >:

Collaboration diagram for itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef RegionType::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImagePointer
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef InputImageType::OffsetType	OffsetType
typedef OutputImageType::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef InputImageType::RegionType	RegionType
typedef DanielssonDistanceMapImageFilter	Self
typedef RegionType::SizeType	SizeType
typedef SizeType::SizeValueType	SizeValueType
typedef InputImageType::SpacingType	SpacingType
typedef InputImageType::SpacingValueType	SpacingValueType
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
typedef VectorImageType::Pointer	VectorImagePointer
typedef Image< OffsetType, itkGetStaticConstMacro(InputImageDimension) >	VectorImageType
typedef VoronoiImageType::Pointer	VoronoiImagePointer
typedef TVoronoiImage	VoronoiImageType
typedef VoronoiImageType::PixelType	VoronoiPixelType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
OutputImageType *	GetDistanceMap (void)
virtual const bool &	GetInputIsBinary ()
virtual const char *	GetNameOfClass () const
virtual const bool &	GetSquaredDistance ()
virtual const bool &	GetUseImageSpacing ()
VectorImageType *	GetVectorDistanceMap (void)
VoronoiImageType *	GetVoronoiMap (void)
virtual void	InputIsBinaryOff ()
virtual void	InputIsBinaryOn ()
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)
virtual void	SetInputIsBinary (bool _arg)
virtual void	SetSquaredDistance (bool _arg)
virtual void	SetUseImageSpacing (bool _arg)
virtual void	SquaredDistanceOff ()
virtual void	SquaredDistanceOn ()
	typedef (Concept::SameDimension< InputImageDimension, OutputImageDimension >) InputOutputSameDimensionCheck
	typedef (Concept::SameDimension< InputImageDimension, VoronoiImageDimension >) InputVoronoiSameDimensionCheck
	typedef (Concept::Convertible< double, OutputPixelType >) DoubleConvertibleToOutputCheck
	typedef (Concept::Convertible< InputPixelType, OutputPixelType >) InputConvertibleToOutputCheck
virtual void	UseImageSpacingOff ()
virtual void	UseImageSpacingOn ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	InputImageDimension = InputImageType::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
static const unsigned int	VoronoiImageDimension = TVoronoiImage::ImageDimension
Protected Member Functions
void	ComputeVoronoiMap ()
void	GenerateData ()
void	PrepareData ()
void	UpdateLocalDistance (VectorImageType *, const IndexType &, const OffsetType &)

	DanielssonDistanceMapImageFilter ()
virtual	~DanielssonDistanceMapImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
	DanielssonDistanceMapImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_InputIsBinary
bool	m_SquaredDistance
bool	m_UseImageSpacing

Detailed Description

template<class TInputImage, class TOutputImage, class TVoronoiImage = TInputImage>
class itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >

This filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance.

Template Parameters:

TInputImage	Input Image Type
TOutputImage	Output Image Type
TVoronoiImage	Voronoi Image Type. Note the default value is TInputImage.

The input is assumed to contain numeric codes defining objects. The filter will produce as output the following images:

A Voronoi partition using the same numeric codes as the input.
A distance map with the approximation to the euclidean distance. from a particular pixel to the nearest object to this pixel in the input image.
A vector map containing the component of the vector relating the current pixel with the closest point of the closest object to this pixel. Given that the components of the distance are computed in "pixels", the vector is represented by an itk::Offset. That is, physical coordinates are not used.

This filter is N-dimensional and known to be efficient in computational time. The algorithm is the N-dimensional version of the 4SED algorithm given for two dimensions in:

Danielsson, Per-Erik. Euclidean Distance Mapping. Computer Graphics and Image Processing 14, 227-248 (1980).

Definition at line 61 of file itkDanielssonDistanceMapImageFilter.h.