Dear Johannes, this is an excellent opportunity to contribute to ITK by improving the documentation! Following these instructions <https://itk.org/Wiki/ITK/Git/Develop>, modify the comments <https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Filtering/ImageStatistics/include/itkAdaptiveHistogramEqualizationImageFilter.h#L27-L69> before the filter declaration and submit a patch to Gerrit code review system. Add a few active participants of the list as reviewers.
Regards, Dženan On Tue, Oct 25, 2016 at 8:39 AM, Johannes Keustermans < johannes.keusterm...@gmail.com> wrote: > Dear all, > > > > > > The description of the AdaptiveHistogramEqualizationImageFilter is not > entirely correct in my (humble) opinion. From the description it seems that > the filter, depending on the parameter alpha, ranges from standard > histogram equalization (alpha = 0) to unsharp masking (alpha = 1). However, > from the paper and the implementation, the parameter alpha is used to steer > between standard histogram equalization and local mean subtraction. The > rationale for this connection is due to the fact that local mean > subtraction is an approximation for histogram equalization with a strongly > gaussian smoothed histogram. The parameter beta controls the level of local > mean addition. > > > > > > Kind regards, > > Johannes Keustermans > > _______________________________________________ > Powered by www.kitware.com > > Visit other Kitware open-source projects at > http://www.kitware.com/opensource/opensource.html > > Kitware offers ITK Training Courses, for more information visit: > http://kitware.com/products/protraining.php > > Please keep messages on-topic and check the ITK FAQ at: > http://www.itk.org/Wiki/ITK_FAQ > > Follow this link to subscribe/unsubscribe: > http://public.kitware.com/mailman/listinfo/insight-developers > > _______________________________________________ > Community mailing list > commun...@itk.org > http://public.kitware.com/mailman/listinfo/community > >
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