[Insight-users] Normalized Mutual Information Metric

[Luis Ibanez]

Hi Tomas,

This metric is a very recent addition to the toolkit and have
not been tested extensively. You will find a test (not an
example) for this class under

  Insight/Testing/Code/Algorithtms/
itkNormalizedMutualInformationHistogramImageToImageMetricTest.cxx

Tests are intented to exercise the code, not really as tutorial
examples, but... nonetheless, this file may give you some hints
on the correct usage of this metric.


Please let us know if you have further questions.


   Thanks


     Luis

-----------------------
Thomas Boettger wrote:
> Does anyone know "how usable" the class 
> NormalizedMutualInformationMetric is? What are the Derivative StepLength 
> and Scale for? And which parameters need to be set. I couldn't find an 
> example. Is it still to early to use this metric?
> 
> And why isn't there a binning parameter? Does the histogram size 
> determine the number of gray value classes and has the same affect as 
> binning?
> 
> Thomas
> 
> 
>