Contribution: grow-cut

[Josh Warner]

Hi Nathan,

I just submitted a PR to your `growcut` repository which includes a Cython 
version of the non-vectorized `automate` function and a benchmark based on 
the flower example.  On my laptop, it runs slightly faster than the 
vectorized Numpy implementation.  It's as optimized as I can get it, though 
there is probably still some room for improvement.

In my opinion, this would definitely be attractive to have in scikit-image, 
and I also like your interactive GUI example.  

Regards,
Josh

On Wednesday, February 20, 2013 6:47:09 PM UTC-6, Nathan Faggian wrote:
>
> Hi Josh, 
>
> If you can make the algorithm faster through better numpy vectorization I 
> would be really keen to find out how. 
>
> I suggested Cython because I was (mostly) wondering if the slower 
> (automate) function was pushed to Cython how it would compare to fast (but 
> memory hungry) numpy (numpyAutomate) function. Hopefully making this 
> algorithm more suitable for large images or volumes.
>
> Any improvements that you can contribute to repository will be welcomed 
> with open arms. 
>
> Cheers,
>
> Nathan.
>
>
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