border artefacts with skimage.exposure.equalize_adapthist

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