[ITK] [ITK-dev] description AdaptiveHistogramEqualizationImageFilter
Dženan Zukić
dzenanz at gmail.com
Tue Oct 25 09:57:47 EDT 2016
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.keustermans at 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
>
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