Measures the similarity between the set of non-zero pixels of two images. More...

#include <itkSimilarityIndexImageFilter.h>

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

Collaboration diagram for itk::SimilarityIndexImageFilter< 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 SimilarityIndexImageFilter	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 const char *	GetNameOfClass () const
virtual RealType	GetSimilarityIndex () const
void	SetInput1 (const InputImage1Type *image)
void	SetInput2 (const InputImage2Type *image)
	typedef (Concept::HasNumericTraits< InputImage2PixelType >) Input2HasNumericTraitsCheck
	typedef (Concept::HasNumericTraits< InputImage1PixelType >) Input1HasNumericTraitsCheck
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage1::ImageDimension
Protected Member Functions
void	AfterThreadedGenerateData ()
void	AllocateOutputs ()
void	BeforeThreadedGenerateData ()
void	EnlargeOutputRequestedRegion (DataObject *data)
void	GenerateInputRequestedRegion ()
void	ThreadedGenerateData (const RegionType &outputRegionForThread, ThreadIdType threadId)

	SimilarityIndexImageFilter ()
	~SimilarityIndexImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
void	operator= (const Self &)
	SimilarityIndexImageFilter (const Self &)
Private Attributes
Array< SizeValueType >	m_CountOfImage1
Array< SizeValueType >	m_CountOfImage2
Array< SizeValueType >	m_CountOfIntersection
RealType	m_SimilarityIndex

Detailed Description

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

Measures the similarity between the set of non-zero pixels of two images.

SimilarityIndexImageFilter measures the similarity between the set non-zero pixels of two images using the following formula:

$S = \frac{2 | A \cap B |}{|A| + |B|}$

where $A$ and $B$ are respectively the set of non-zero pixels in the first and second input images. Operator $|\cdot|$ represents the size of a set and $\cap$ represents the intersection of two sets.

The measure is derived from a reliability measure known as the kappa statistic. $S$ is sensitive to both differences in size and in location and have been in the literature for comparing two segmentation masks. For more information see: "Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation", A. P. Zijdenbos, B. M. Dawant, R. A. Margolin and A. C. Palmer, IEEE Trans. on Medical Imaging, 13(4) pp 716-724,1994

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.

Definition at line 60 of file itkSimilarityIndexImageFilter.h.