slic segmentation

[scott.richardson at visionsystemsinc.com]

Ok. That makes sense. Thanks for the explanation.

On Wednesday, December 18, 2013 10:19:43 AM UTC-5, Josh Warner wrote:
>
> 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 <
>> scott.ri... at visionsystemsinc.com> 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
>>>  
>>> -- 
>>> You received this message because you are subscribed to the Google 
>>> Groups "scikit-image" group.
>>> To unsubscribe from this group and stop receiving emails from it, send 
>>> an email to scikit-image... at googlegroups.com.
>>> For more options, visit https://groups.google.com/groups/opt_out.
>>>
>>
>>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20131218/fff1429f/attachment.html>