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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 >:

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

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List of all members.

Public Types

typedef NormalizedCorrelationImageToImageMetric Self
typedef ImageToImageMetric<
TFixedImage, TMovingImage > 
Superclass
typedef SmartPointer< SelfPointer
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

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.


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.


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.


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.


The documentation for this class was generated from the following file:
Generated at Thu May 25 01:57:44 2006 for ITK by doxygen 1.3.5 written by Dimitri van Heesch, © 1997-2000