<div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Dear Johannes,</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">this is an excellent opportunity to contribute to ITK by improving the documentation! Following these <a href="https://itk.org/Wiki/ITK/Git/Develop">instructions</a>, modify the <a href="https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Filtering/ImageStatistics/include/itkAdaptiveHistogramEqualizationImageFilter.h#L27-L69">comments</a> before the filter declaration and submit a patch to Gerrit code review system. Add a few active participants of the list as reviewers.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Regards,</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Dženan</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Oct 25, 2016 at 8:39 AM, Johannes Keustermans <span dir="ltr"><<a href="mailto:johannes.keustermans@gmail.com" target="_blank">johannes.keustermans@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div lang="NL-BE" link="#0563C1" vlink="#954F72"><div class="m_6639194482797824715WordSection1"><p class="MsoNormal"><span lang="EN-US">Dear all,<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p><p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p><p class="MsoNormal"><span lang="EN-US">The description of the AdaptiveHistogramEqualizationI<wbr>mageFilter 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.<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p><p class="MsoNormal"><span lang="EN-US"><u></u> <u></u></span></p><p class="MsoNormal"><span lang="EN-US">Kind regards,<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-US">Johannes Keustermans<u></u><u></u></span></p></div></div><br>______________________________<wbr>_________________<br>
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