This filter calculates the Euclidean distance transform of a binary image in linear time for arbitrary dimensions. More...

#include <itkSignedMaurerDistanceMapImageFilter.h>

Inheritance diagram for itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef TInputImage	InputImageType
typedef InputImageType::IndexType	InputIndexType
typedef InputImageType::IndexValueType	InputIndexValueType
typedef InputImageType::PixelType	InputPixelType
typedef InputImageType::RegionType	InputRegionType
typedef InputImageType::SizeType	InputSizeType
typedef InputImageType::SizeValueType	InputSizeValueType
typedef InputImageType::SpacingType	InputSpacingType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef OutputImageType::IndexType	OutputIndexType
typedef OutputImageType::IndexValueType	OutputIndexValueType
typedef OutputImageType::PixelType	OutputPixelType
typedef OutputImageType::RegionType	OutputRegionType
typedef OutputImageType::SizeType	OutputSizeType
typedef OutputImageType::SizeValueType	OutputSizeValueType
typedef OutputImageType::SpacingType	OutputSpacingType
typedef SmartPointer< Self >	Pointer
typedef SignedMaurerDistanceMapImageFilter	Self
typedef ImageToImageFilter < InputImageType, OutputImageType >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const bool &	GetInsideIsPositive ()
virtual const char *	GetNameOfClass () const
virtual const bool &	GetSquaredDistance ()
virtual const bool &	GetUseImageSpacing ()
virtual void	InsideIsPositiveOff ()
virtual void	InsideIsPositiveOn ()
virtual void	SetInsideIsPositive (bool _arg)
virtual void	SetSquaredDistance (bool _arg)
virtual void	SetUseImageSpacing (bool _arg)
virtual void	SquaredDistanceOff ()
virtual void	SquaredDistanceOn ()
virtual void	UseImageSpacingOff ()
virtual void	UseImageSpacingOn ()

virtual void	SetBackgroundValue (InputPixelType _arg)
virtual const InputPixelType &	GetBackgroundValue ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes

static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
static const unsigned int	ImageDimension = TOutputImage::ImageDimension
Protected Member Functions
void	GenerateData ()
void	PrintSelf (std::ostream &os, Indent indent) const
	SignedMaurerDistanceMapImageFilter ()
unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~SignedMaurerDistanceMapImageFilter ()
Private Member Functions
void	operator= (const Self &)
bool	Remove (OutputPixelType, OutputPixelType, OutputPixelType, OutputPixelType, OutputPixelType, OutputPixelType)
	SignedMaurerDistanceMapImageFilter (const Self &)
void	Voronoi (unsigned int, OutputIndexType)
Private Attributes
InputPixelType	m_BackgroundValue
unsigned int	m_CurrentDimension
bool	m_InsideIsPositive
InputSpacingType	m_Spacing
bool	m_SquaredDistance
bool	m_UseImageSpacing

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >

This filter calculates the Euclidean distance transform of a binary image in linear time for arbitrary dimensions.

Inputs and Outputs: This is an image-to-image filter. The dimensionality is arbitrary. The only dimensionality constraint is that the input and output images be of the same dimensions and size. To maintain integer arithmetic within the filter, the default output is the signed squared distance. This implies that the input image should be of type "unsigned int" or "int" whereas the output image is of type "int". Obviously, if the user wishes to utilize the image spacing or to have a filter with the Euclidean distance (as opposed to the squared distance), output image types of float or double should be used.

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

Parameters: Set/GetBackgroundValue specifies the background of the value of the input binary image. Normally this is zero and, as such, zero is the default value. Other than that, the usage is completely analagous to the itk::DanielssonDistanceImageFilter class except it does not return the Voronoi map.

Reference: C. R. Maurer, Jr., R. Qi, and V. Raghavan, "A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions", IEEE - Transactions on Pattern Analysis and Machine Intelligence, 25(2): 265-270, 2003.

Definition at line 62 of file itkSignedMaurerDistanceMapImageFilter.h.