mitkNormalizedCorrelationMetric Class Reference

mitkNormalizedCorrelationMetric - a concrete class computing similarity between two objects to be registered More...

#include <mitkNormalizedCorrelationMetric.h>

Inherits mitkMetric.

Inheritance diagram for mitkNormalizedCorrelationMetric:

[legend]Collaboration diagram for mitkNormalizedCorrelationMetric:

[legend]List of all members.

Public Member Functions
virtual void	PrintSelf (ostream &os)
	mitkNormalizedCorrelationMetric ()
virtual bool	GetSimilarity (const VectorParameterType &parameters, ScalarParameterType &similarity)
virtual bool	GetSimilarityAndDerivative (const VectorParameterType &parameters, ScalarParameterType &similarity, VectorParameterType &derivative)
void	SetSubtractMeanFlag (bool flag)

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Detailed Description

mitkNormalizedCorrelationMetric - a concrete class computing similarity between two objects to be registered

mitkNormalizedCorrelationMetric 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.

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Constructor & Destructor Documentation

mitkNormalizedCorrelationMetric::mitkNormalizedCorrelationMetric (   )

Constructor.

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Member Function Documentation

virtual bool mitkNormalizedCorrelationMetric::GetSimilarity (  const VectorParameterType &  parameters, ScalarParameterType &  similarity )  [virtual]

Get Similarity between regions of two volumes. Parameters: parameters  The vector pointer to the transform parameters. similarity  The metric results. Returns: Return true if the metric computation is performed without error. Reimplemented from mitkMetric.

virtual bool mitkNormalizedCorrelationMetric::GetSimilarityAndDerivative (  const VectorParameterType &  parameters, ScalarParameterType &  similarity, VectorParameterType &  derivative )  [virtual]

Get Similarity And Gradient Value between regions of two volumes. Parameters: transformParameters  The vector pointer to the transform parameters. similarity  Return the similarity. derivative  Return the gradient value in all dimensions. Returns: Return true if the metric computation is performed without error. Reimplemented from mitkMetric.

virtual void mitkNormalizedCorrelationMetric::PrintSelf (  ostream &  os  )  [virtual]

Print the necessary information about this object for the debugging purpose. Parameters: os  The specified ostream to output information. Reimplemented from mitkMetric.

void mitkNormalizedCorrelationMetric::SetSubtractMeanFlag (  bool  flag  )  [inline]

Set the Subtract Mean mode.Default is false. Parameters: flag  Specify the subtract mean flag.

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

• mitkNormalizedCorrelationMetric.h

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