border artefacts with skimage.exposure.equalize_adapthist

[Josh Warner]

Just to confirm what Steven said, building from current master and applying 
your command to your `nuclei.jpg` image I obtain the attached image without 
artifacts.

0.11 should be released fairly soon, but if you need this sooner you can 
build from source. We'd be happy to help if you run into problems.

Josh


On Saturday, January 24, 2015 at 4:46:23 AM UTC-7, Kai Wiechen wrote:
>
>
> <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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