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itk::NormalizedCorrelationPointSetToImageMetric< TTarget, TMapper > Class Template Reference
[Similarity Metrics of Registration Methods]
Computes similarity between two objects to be registered.
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#include <itkNormalizedCorrelationPointSetToImageMetric.h>
List of all members.
Detailed Description
template<class TTarget, class TMapper>
class itk::NormalizedCorrelationPointSetToImageMetric< TTarget, TMapper >
Computes similarity between two objects to be registered.
This Class is templated over the type of the objects to be registered and over the type of transformation to be used.
SmartPointer to this three objects are received, and using them, this class computes a value(s) that measures the similarity of the target against the reference object once the transformation is applied to it.
Definition at line 41 of file itkNormalizedCorrelationPointSetToImageMetric.h.
Member Function Documentation
template<class TTarget, class TMapper> |
itk::NormalizedCorrelationPointSetToImageMetric< TTarget, TMapper >::itkStaticConstMacro |
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SpaceDimension |
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unsigned |
int, |
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TMapper::SpaceDimension |
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Space dimension is the dimension of parameters space. |
The documentation for this class was generated from the following file:
Generated at Wed Mar 12 01:21:42 2003 for ITK by
1.2.15 written by Dimitri van Heesch,
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