#include <itkContourMeanDistanceImageFilter.h>

Inheritance diagram for itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >:

Collaboration diagram for itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage1::IndexType	IndexType
typedef TInputImage1::ConstPointer	InputImage1ConstPointer
typedef TInputImage1::PixelType	InputImage1PixelType
typedef TInputImage1::Pointer	InputImage1Pointer
typedef TInputImage1	InputImage1Type
typedef TInputImage2::ConstPointer	InputImage2ConstPointer
typedef TInputImage2::PixelType	InputImage2PixelType
typedef TInputImage2::Pointer	InputImage2Pointer
typedef TInputImage2	InputImage2Type
typedef SmartPointer< Self >	Pointer
typedef NumericTraits < InputImage1PixelType > ::RealType	RealType
typedef TInputImage1::RegionType	RegionType
typedef ContourMeanDistanceImageFilter	Self
typedef TInputImage1::SizeType	SizeType
typedef ImageToImageFilter < TInputImage1, TInputImage1 >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const InputImage1Type *	GetInput1 (void)
const InputImage2Type *	GetInput2 (void)
virtual RealType	GetMeanDistance () const
virtual const char *	GetNameOfClass () const
void	SetInput1 (const InputImage1Type *image)
void	SetInput2 (const InputImage2Type *image)
virtual void	SetUseImageSpacing (bool _arg)
	typedef (Concept::HasNumericTraits< InputImage1PixelType >) InputHasNumericTraitsCheck
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage1::ImageDimension
Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *data)
void	GenerateData ()
void	GenerateInputRequestedRegion ()

	ContourMeanDistanceImageFilter ()
	~ContourMeanDistanceImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
	ContourMeanDistanceImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
RealType	m_MeanDistance
bool	m_UseImageSpacing

Detailed Description

template<class TInputImage1, class TInputImage2>
class itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >

Computes the Mean distance between the boundaries of non-zero regions of two images.

ContourMeanDistanceImageFilter computes the distance between the set non-zero pixels of two images using the following formula:

$H(A,B) = \max(h(A,B),h(B,A))$

where

$h(A,B) = \max_{a \in A} \min_{b \in B} \| a - b\|$

is the directed Mean distance and $A$ and $B$ are respectively the set of non-zero pixels in the first and second input images.

In particular, this filter uses the ContourDirectedMeanImageFilter inside to compute the two directed distances and then select the largest of the two.

The Mean distance measures the degree of mismatch between two sets and behaves like a metric over the set of all closed bounded sets - with properties of identity, symmetry and triangle inequality.

This filter requires the largest possible region of the first image and the same corresponding region in the second image. It behaves as filter with two input and one output. Thus it can be inserted in a pipeline with other filters. The filter passes the first input through unmodified.

This filter is templated over the two input image type. It assume both image have the same number of dimensions.

See also:: ContourDirectedMeanDistanceImageFilter

Author:: Teo Popa, ISIS Center, Georgetown University

Wiki Examples:

All Examples

Compute the mean distance between all points of two curves

Definition at line 68 of file itkContourMeanDistanceImageFilter.h.