#include <itkNormalizedCorrelationImageFilter.h>

Inheritance diagram for itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >:

Collaboration diagram for itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ImageBoundaryCondition < OutputImageType > *	ImageBoundaryConditionPointerType
typedef InputImageType::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TInputImage::InternalPixelType	InputInternalPixelType
typedef TInputImage::PixelType	InputPixelType
typedef MaskImageType::Pointer	MaskImagePointer
typedef TMaskImage	MaskImageType
typedef TMaskImage::InternalPixelType	MaskInternalPixelType
typedef TMaskImage::PixelType	MaskPixelType
typedef Superclass::OperatorValueType	OperatorValueType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef Superclass::OutputNeighborhoodType	OutputNeighborhoodType
typedef TOutputImage::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef NormalizedCorrelationImageFilter	Self
typedef NeighborhoodOperatorImageFilter < TInputImage, TOutputImage, TOperatorValueType >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const TMaskImage *	GetMaskImage () const
virtual const char *	GetNameOfClass () const
void	SetMaskImage (const TMaskImage *mask)
void	SetTemplate (const OutputNeighborhoodType &t)
	typedef (Concept::SameDimension< InputImageDimension, MaskImageDimension >) SameDimensionCheck
	typedef (Concept::HasNumericTraits< OutputPixelType >) OutputHasNumericTraitsCheck
	typedef (Concept::HasNumericTraits< OperatorValueType >) OperatorHasNumericTraitsCheck
	typedef (Concept::Signed< OutputPixelType >) SignedOutputPixelType
Static Public Member Functions
static Pointer	New ()
Static Public Attributes

static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	ImageDimension = TOutputImage::ImageDimension
static const unsigned int	MaskImageDimension = TMaskImage::ImageDimension
Protected Member Functions
void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)

	NormalizedCorrelationImageFilter ()
virtual	~NormalizedCorrelationImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
	NormalizedCorrelationImageFilter (const Self &)
void	operator= (const Self &)

Detailed Description

template<class TInputImage, class TMaskImage, class TOutputImage, class TOperatorValueType = typename TOutputImage::PixelType>
class itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >

Computes the normalized correlation of an image and a template.

This filter calculates the normalized correlation between an image and the template. Normalized correlation is frequently use in feature detection because it is invariant to local changes in contrast.

The filter can be given a mask. When presented with an input image and a mask, the normalized correlation is only calculated at those pixels under the mask.

See also:: Image; Neighborhood; NeighborhoodOperator; NeighborhoodIterator

Wiki Examples:

All Examples

Normalized correlation

Definition at line 51 of file itkNormalizedCorrelationImageFilter.h.