border artefacts with skimage.exposure.equalize_adapthist

[Kai Wiechen]

<https://lh3.googleusercontent.com/-JDkNXe7k44s/VMOE-xwgPXI/AAAAAAAABLA/STWxQlQkU9Q/s1600/nuclei.jpg> 
<https://lh3.googleusercontent.com/-sgqpXIXHhF0/VMOFDbcK8sI/AAAAAAAABLI/iHcFERpbFfc/s1600/nuclei_clahe.jpg>
Hello,

I am new to scikit-image (and python too), but found the combination of 
scikit-image implementation of algorithms together with ndarrays extremely 
powerful.

For now, I am trying to find nuclei in microscopic images (color 
deconvolution, find seeds with blob_log) This works fairly well but due to 
low contrast some nuclei are not detected. 

nuclei_clahe = equalize_adapthist(nuclei) 

gives much better local contrast but introduces linear artefacts at the 
test image borders. Is it possible to avoid/reduce this?

Best regards,


Kai





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