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

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 >:

[legend]Collaboration diagram for itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >:

[legend]List of all members.

Public Types
typedef NormalizedCorrelationPointSetToImageMetric	Self
typedef PointSetToImageMetric< TFixedPointSet, 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::FixedPointSetType	FixedPointSetType
typedef Superclass::MovingImageType	MovingImageType
typedef Superclass::FixedPointSetConstPointer	FixedPointSetConstPointer
typedef Superclass::MovingImageConstPointer	MovingImageConstPointer
typedef Superclass::PointIterator	PointIterator
typedef Superclass::PointDataIterator	PointDataIterator
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
	NormalizedCorrelationPointSetToImageMetric ()
virtual	~NormalizedCorrelationPointSetToImageMetric ()
void	PrintSelf (std::ostream &os, Indent indent) const

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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 43 of file itkNormalizedCorrelationPointSetToImageMetric.h.

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Member Typedef Documentation

template<class TFixedPointSet, class TMovingImage> typedef SmartPointer<const Self> itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::ConstPointer

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 53 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::DerivativeType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::DerivativeType

Type of the derivative. Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 71 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::FixedPointSetConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 74 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::FixedPointSetType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::FixedPointSetType

Type of the fixed Image. Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 72 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::GradientPixelType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GradientPixelType

Gaussian filter to compute the gradient of the Moving Image Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 68 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MeasureType

Type of the measure. Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 70 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::MovingImageConstPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageConstPointer

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 75 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::MovingImageType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::MovingImageType

Type of the moving Image. Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 73 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::PointDataIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointDataIterator

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 78 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef SmartPointer<Self> itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Pointer

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 52 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::PointIterator itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::PointIterator

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 77 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::RealType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::RealType

Types transferred from the base class Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 63 of file itkNormalizedCorrelationPointSetToImageMetric.h.

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

Standard class typedefs. Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 49 of file itkNormalizedCorrelationPointSetToImageMetric.h. Referenced by itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::~NormalizedCorrelationPointSetToImageMetric().

template<class TFixedPointSet, class TMovingImage> typedef PointSetToImageMetric<TFixedPointSet, TMovingImage > itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Superclass

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 50 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::TransformJacobianType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformJacobianType

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 67 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::TransformParametersType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformParametersType

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 66 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::TransformPointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformPointer

Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 65 of file itkNormalizedCorrelationPointSetToImageMetric.h.

template<class TFixedPointSet, class TMovingImage> typedef Superclass::TransformType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::TransformType

Type of the Transform Base class Reimplemented from itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >. Definition at line 64 of file itkNormalizedCorrelationPointSetToImageMetric.h.

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Constructor & Destructor Documentation

template<class TFixedPointSet, class TMovingImage> itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::NormalizedCorrelationPointSetToImageMetric (   )  [protected]

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

Definition at line 103 of file itkNormalizedCorrelationPointSetToImageMetric.h. References itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::Self.

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Member Function Documentation

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

Get the derivatives of the match measure.

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

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

template<class TFixedPointSet, class TMovingImage> virtual const bool& itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, 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 TFixedPointSet, class TMovingImage> MeasureType itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::GetValue (  const TransformParametersType &  parameters  )  const

Get the value for single valued optimizers.

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

Get value and derivatives for multiple valued optimizers.

template<class TFixedPointSet, class TMovingImage> Pointer itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >::New (   )  [static]

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

template<class TFixedPointSet, class TMovingImage> void itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, 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::PointSetToImageMetric< TFixedPointSet, TMovingImage >.

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

• itkNormalizedCorrelationPointSetToImageMetric.h

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