itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > Class Template Reference
[Similarity Metrics of Registration Methods]

Computes similarity between two images to be registered. More...

#include <itkNormalizedCorrelationImageToImageMetric.h>

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

[legend]Collaboration diagram for itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >:

[legend]List of all members.

Public Types
typedef NormalizedCorrelationImageToImageMetric	Self
typedef ImageToImageMetric< TFixedImage, TMovingImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::RealType	RealType
typedef Superclass::TransformType	TransformType
typedef Superclass::TransformPointer	TransformPointer
typedef Superclass::TransformParametersType	TransformParametersType
typedef Superclass::TransformJacobianType	TransformJacobianType
typedef Superclass::GradientPixelType	GradientPixelType
typedef Superclass::MeasureType	MeasureType
typedef Superclass::DerivativeType	DerivativeType
typedef Superclass::FixedImageType	FixedImageType
typedef Superclass::MovingImageType	MovingImageType
typedef Superclass::FixedImageConstPointer	FixedImageConstPointer
typedef Superclass::MovingImageConstPointer	MovingImageConstPointer
Public Member Functions
virtual const char *	GetNameOfClass () const
void	GetDerivative (const TransformParametersType &parameters, DerivativeType &Derivative) const
MeasureType	GetValue (const TransformParametersType &parameters) const
void	GetValueAndDerivative (const TransformParametersType &parameters, MeasureType &Value, DerivativeType &Derivative) const
virtual void	SetSubtractMean (bool _arg)
virtual const bool &	GetSubtractMean ()
virtual void	SubtractMeanOn ()
virtual void	SubtractMeanOff ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	NormalizedCorrelationImageToImageMetric ()
virtual	~NormalizedCorrelationImageToImageMetric ()
void	PrintSelf (std::ostream &os, Indent indent) const

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Detailed Description

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

Computes similarity between two images to be registered.

This metric computes the correlation between pixels in the fixed image and pixels in the moving image. The spatial correspondance between fixed and moving image is established through a Transform. Pixel values are taken from the fixed image, 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. The correlation is normalized by the autocorrelations of both the fixed and moving images.

Definition at line 42 of file itkNormalizedCorrelationImageToImageMetric.h.

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Member Typedef Documentation

template<class TFixedImage, class TMovingImage> typedef SmartPointer<const Self> itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 52 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::DerivativeType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType

Type of the derivative. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 70 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::FixedImageConstPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 73 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::FixedImageType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType

Type of the fixed Image. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 71 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::GradientPixelType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 67 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::MeasureType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType

Type of the measure. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 69 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 74 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::MovingImageType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType

Type of the moving Image. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 72 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef SmartPointer<Self> itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Pointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 51 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::RealType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::RealType

Types transferred from the base class Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 62 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef NormalizedCorrelationImageToImageMetric itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Self

Standard class typedefs. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 48 of file itkNormalizedCorrelationImageToImageMetric.h. Referenced by itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::~NormalizedCorrelationImageToImageMetric().

template<class TFixedImage, class TMovingImage> typedef ImageToImageMetric<TFixedImage, TMovingImage > itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Superclass

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 49 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::TransformJacobianType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 66 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::TransformParametersType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 65 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::TransformPointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer

Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 64 of file itkNormalizedCorrelationImageToImageMetric.h.

template<class TFixedImage, class TMovingImage> typedef Superclass::TransformType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::TransformType

Type of the Transform Base class Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >. Definition at line 63 of file itkNormalizedCorrelationImageToImageMetric.h.

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Constructor & Destructor Documentation

template<class TFixedImage, class TMovingImage> itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::NormalizedCorrelationImageToImageMetric (   )  [protected]

template<class TFixedImage, class TMovingImage> virtual itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::~NormalizedCorrelationImageToImageMetric (   )  [inline, protected, virtual]

Definition at line 99 of file itkNormalizedCorrelationImageToImageMetric.h. References itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::Self.

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Member Function Documentation

template<class TFixedImage, class TMovingImage> void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative (  const TransformParametersType &  parameters, DerivativeType &  Derivative )  const

Get the derivatives of the match measure.

template<class TFixedImage, class TMovingImage> virtual const char* itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage> virtual const bool& itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetSubtractMean (   )  [virtual]

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost fucntion. Default value is false.

template<class TFixedImage, class TMovingImage> MeasureType itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetValue (  const TransformParametersType &  parameters  )  const

Get the value for single valued optimizers.

template<class TFixedImage, class TMovingImage> void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative (  const TransformParametersType &  parameters, MeasureType &  Value, DerivativeType &  Derivative )  const

Get value and derivatives for multiple valued optimizers.

template<class TFixedImage, class TMovingImage> Pointer itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<class TFixedImage, class TMovingImage> void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.

template<class TFixedImage, class TMovingImage> virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::SetSubtractMean (  bool  _arg  )  [virtual]

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost fucntion. Default value is false.

template<class TFixedImage, class TMovingImage> virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::SubtractMeanOff (   )  [virtual]

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost fucntion. Default value is false.

template<class TFixedImage, class TMovingImage> virtual void itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >::SubtractMeanOn (   )  [virtual]

Set/Get SubtractMean boolean. If true, the sample mean is subtracted from the sample values in the cross-correlation formula and typically results in narrower valleys in the cost fucntion. Default value is false.

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The documentation for this class was generated from the following file:

• itkNormalizedCorrelationImageToImageMetric.h

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