This class takes as input 2 input images, and outputs the registration force using Bill Crum's local histogram derivative method explained in "Information Theoretic Similarity Measures In Non-Rigid Registration", Crum et al. IPMI 1993. More...

Detailed Description

This class takes as input 2 input images, and outputs the registration force using Bill Crum's local histogram derivative method explained in "Information Theoretic Similarity Measures In Non-Rigid Registration", Crum et al. IPMI 1993.

This abstract base class implements Template Method pattern, so you are expected to subclass it, and implement the ComputeForcePerVoxel according to your similarity measure.

See also: RegistrationForceFilter NMILocalHistogramDerivativeForceFilter.

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

itkLocalHistogramDerivativeForceFilter.h