slic segmentation

[Josh Warner]

For completeness, also note earlier SLIC versions automatically forced a 
small Gaussian blur to the image prior to segmentation. This was controlled 
via the sigma parameter, and it defaulted to 1.

Now the default is sigma=0; i.e. SLIC just performs SLIC by default. This 
is more intuitive and offers compatibility with workflows including their 
own custom pre-processing blurs. So, in addition to what Juan noted above, 
if you want result parity with 0.8.x you also must set sigma=1.

On Wednesday, December 18, 2013 8:11:06 AM UTC-6, Juan Nunez-Iglesias wrote:

The segmentation did change, as a result of this PR:
>
> https://github.com/scikit-image/scikit-image/pull/666
>
>
> In summary, the handling of the ratio/compactness parameter in 
> scikit-image's SLIC was different from the reference implementation 
> provided by the authors, and we fixed that between 0.8 and 0.9. If you 
> fiddle with the compactness parameter, you should be able to get something 
> close to your original segmentation.
>
>
> I hope this helps!
>
>
> Juan.
> —
> Sent from Mailbox <https://www.dropbox.com/mailbox> for iPhone
>
>
> On Thu, Dec 19, 2013 at 1:08 AM, scott.ri... at visionsystemsinc.com<javascript:> 
> <scott.ri... at visionsystemsinc.com <javascript:>> wrote:
>
>>  I recently upgraded skimage from release 0.8.2.0 to 0.9.3 and noticed 
>> that I am getting back a different segmentation than I used to. 
>>
>> I see that @jni and @ahojnnes have made quite a few edits to 
>> skimage/segmentation/slic_superpixels.py and _slic.pyx, so I suspect 
>> that is expected, but I wanted to make sure it wasn't a regression. 
>>
>> thanks
>> Scott
>>  
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