missing kernel or block size in equalize_adapthist

[Kai Wiechen]

<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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