#include <itkNormalizedMutualInformationHistogramImageToImageMetric.h>

Inheritance diagram for itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >:

Collaboration diagram for itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DerivativeType	DerivativeType
typedef Superclass::FixedImageConstPointer	FixedImageConstPointer
typedef Superclass::FixedImageType	FixedImageType
typedef Superclass::GradientPixelType	GradientPixelType
typedef HistogramType::AbsoluteFrequencyType	HistogramFrequencyType
typedef HistogramType::Iterator	HistogramIteratorType
typedef HistogramType::MeasurementVectorType	HistogramMeasurementVectorType
typedef Superclass::HistogramType	HistogramType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::MovingImageConstPointer	MovingImageConstPointer
typedef Superclass::MovingImageType	MovingImageType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RealType	RealType
typedef NormalizedMutualInformationHistogramImageToImageMetric	Self
typedef HistogramImageToImageMetric < TFixedImage, TMovingImage >	Superclass
typedef Superclass::TransformJacobianType	TransformJacobianType
typedef Superclass::TransformParametersType	TransformParametersType
typedef Superclass::TransformPointer	TransformPointer
typedef Superclass::TransformType	TransformType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
virtual MeasureType	EvaluateMeasure (HistogramType &histogram) const

	NormalizedMutualInformationHistogramImageToImageMetric ()
virtual	~NormalizedMutualInformationHistogramImageToImageMetric ()
Private Member Functions
	NormalizedMutualInformationHistogramImageToImageMetric (Self const &)
void	operator= (Self const &)

Detailed Description

template<class TFixedImage, class TMovingImage>
class itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >

Computes normalized mutual information between two images to be registered using the histograms of the intensities in the images.

The type of Normalize Mutual Information implemented in this class is given by the equation

$\frac{ H(A) + H(B) }{ H(A,B) }$

Where $ H(A) $ is the entropy of image $ A $, $ H(B) $ is the entropy of image $ B $, and $ H(A,B) $ is the joing entropy of images $ A $ and $ B $.

Details of this implementation can be found in the book "Medical Image Registration" by Hajnal, Hill and Hawkes. The book is available online at http://books.google.com/books?id=2dtQNsk-qBQC The implementation of this class corresponds to equation (30) in Chapter 3 of this book. Note that by slightly changing this class it will be trivial to compute the Normalized Mutual Information measures defined in equations (28) and (29) of the same book.

This class is templated over the type of the fixed and moving images to be compared.

Definition at line 52 of file itkNormalizedMutualInformationHistogramImageToImageMetric.h.