missing kernel or block size in equalize_adapthist
25 May
2015
25 May
'15
6:49 p.m.
https://lh3.googleusercontent.com/-0jVbtyT6ArM/VWNtiWHECgI/AAAAAAAABOg/AKpRc... 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
3209
Age (days ago)
3221
Last active (days ago)
6 comments
2 participants
participants (2)
-
Kai Wiechen
-
Steven Silvester