[Insight-users] Normalized Mutual Information Metric
Thomas Boettger
t . boettger at dkfz-heidelberg . de
Wed, 17 Sep 2003 10:43:57 +0200
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
--
Dipl.-Inform. Thomas Boettger
Deutsches Krebsforschungszentrum (German Cancer Research Center)
Div. Medical and Biological Informatics H0100 Tel: (+49) 6221-42 2328
Im Neuenheimer Feld 280 Fax: (+49) 6221-42 2345
D-69120 Heidelberg e-mail: t . boettger at dkfz . de
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