Computes similarity between pixel values of a point set and intensity values of an image. More...

#include <itkNormalizedCorrelationPointSetToImageMetric.h>

Inheritance diagram for itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >:

Collaboration diagram for itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DerivativeType	DerivativeType
typedef Superclass::FixedPointSetConstPointer	FixedPointSetConstPointer
typedef Superclass::FixedPointSetType	FixedPointSetType
typedef Superclass::GradientPixelType	GradientPixelType
typedef Superclass::InputPointType	InputPointType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::MovingImageConstPointer	MovingImageConstPointer
typedef Superclass::MovingImageType	MovingImageType
typedef Superclass::OutputPointType	OutputPointType
typedef Superclass::PointDataIterator	PointDataIterator
typedef SmartPointer< Self >	Pointer
typedef Superclass::PointIterator	PointIterator
typedef Superclass::RealType	RealType
typedef NormalizedCorrelationPointSetToImageMetric	Self
typedef PointSetToImageMetric < TFixedPointSet, 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
void	GetDerivative (const TransformParametersType &parameters, DerivativeType &Derivative) const
virtual const char *	GetNameOfClass () const
MeasureType	GetValue (const TransformParametersType &parameters) const
void	GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
Static Public Member Functions
static Pointer	New ()
Private Member Functions
	NormalizedCorrelationPointSetToImageMetric (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_SubtractMean
virtual void	SetSubtractMean (bool _arg)
virtual const bool &	GetSubtractMean ()
virtual void	SubtractMeanOn ()
virtual void	SubtractMeanOff ()
	NormalizedCorrelationPointSetToImageMetric ()
virtual	~NormalizedCorrelationPointSetToImageMetric ()
void	PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<class TFixedPointSet, class TMovingImage>
class itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >

Computes similarity between pixel values of a point set and intensity values of an image.

This metric computes the correlation between point values in the fixed point-set and pixel values in the moving image. The correlation is normalized by the autocorrelation values of both the point-set and the moving image. The spatial correspondence between the point-set and the image is established through a Transform. Pixel values are taken from the fixed point-set. Their positions are mapped to the moving image and result in general in non-grid position on it. Values at these non-grid position of the moving image are interpolated using a user-selected Interpolator.

Definition at line 44 of file itkNormalizedCorrelationPointSetToImageMetric.h.