missing kernel or block size in equalize_adapthist
Kai Wiechen
kwiechen1 at gmail.com
Mon May 25 14:49:52 EDT 2015
<https://lh3.googleusercontent.com/-0jVbtyT6ArM/VWNtiWHECgI/AAAAAAAABOg/AKpRcr4fKHU/s1600/nuclei_equalize_adapthist.jpg>
Hello,
I am using equalize_adapthist after color deconvolution and some
morphological operations to enhance local contrast of nuclei in
histological images. There are different results when applying
equalize_adapthist when using small patches and larger size whole images
(left small patch, right large size whole image). The CLAHE implementation
in ImageJ has a 'block size' parameter and the implementation in Pixinsight
has a 'Kernel size' parameter to get results depending on the local
context. Is it possible to 'simulate' this behaviour with scikit-image?
Best regards,
Kai
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