#include <itkSignedDanielssonDistanceMapImageFilter.h>

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

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

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DataObjectPointer	DataObjectPointer
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef RegionType::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImagePointer
typedef TInputImage	InputImageType
typedef InputImageType::OffsetType	OffsetType
typedef OutputImageType::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef InputImageType::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef InputImageType::RegionType	RegionType
typedef SignedDanielssonDistanceMapImageFilter	Self
typedef RegionType::SizeType	SizeType
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 &	GetInsideIsPositive ()
virtual const char *	GetNameOfClass () const
virtual const bool &	GetSquaredDistance ()
virtual const bool &	GetUseImageSpacing ()
VectorImageType *	GetVectorDistanceMap (void)
VoronoiImageType *	GetVoronoiMap (void)
virtual void	InsideIsPositiveOff ()
virtual void	InsideIsPositiveOn ()
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)
virtual void	SetInsideIsPositive (bool _arg)
virtual void	SetSquaredDistance (bool _arg)
virtual void	SetUseImageSpacing (bool _arg)
virtual void	SquaredDistanceOff ()
virtual void	SquaredDistanceOn ()
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
	typedef (Concept::Convertible< int, PixelType >) IntConvertibleToInputCheck
virtual void	UseImageSpacingOff ()
virtual void	UseImageSpacingOn ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	InputImageDimension = InputImageType::ImageDimension
Protected Member Functions
void	GenerateData ()

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

Detailed Description

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

This class is parametrized over the type of the input image and the type of the output image.

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

For purposes of evaluating the signed distance map, the input is assumed to be binary composed of pixels with value 0 and non-zero.

The inside is considered as having negative distances. Outside is treated as having positive distances. To change the convention, use the InsideIsPositive(bool) function.

As a convention, the distance is evaluated from the boundary of the ON pixels.

The filter returns

A signed distance map with the approximation to the euclidean distance.
A voronoi partition. (See itkDanielssonDistanceMapImageFilter)
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. (See itkDanielssonDistanceMapImageFilter)

This filter internally uses the DanielssonDistanceMap filter. This filter is N-dimensional.

See also:: itkDanielssonDistanceMapImageFilter

Definition at line 90 of file itkSignedDanielssonDistanceMapImageFilter.h.