Clustering of an image by taking into account the spatial context of each pixel (besides its intensity)
h.benoudjit at gmail.com
Wed Nov 25 10:50:38 EST 2015
Thanks Emma, that's exactely what I was looking for.
Le mercredi 25 novembre 2015 12:02:34 UTC, Emmanuelle Gouillart a écrit :
> Hi Hakim,
> I think this example from the gallery does what you want: merging slic
> On Wed, Nov 25, 2015 at 03:50:08AM -0800, Hakim Benoudjit wrote:
> > Hi Stéfan,
> > Thanks for the suggestion.
> > I didn't try SLIC algorithm yet, but it seems to me (from the resulting
> > that it segment images into small regions (superpixels) that could
> > (visually) to the same object.
> > In my case (ideally), these superpixels need to be merged afterwards.
> > Do you have an idea on how to achieve the subsequent merging?
> > Le mercredi 25 novembre 2015 02:21:00 UTC, stefanv a écrit :
> > On 2015-11-24 01:47:00, Hakim Benoudjit <h.ben... at gmail.com> wrote:
> > > Thanks Juan, I think you're right.
> > > I might have to read the paper on SLIC algorithm to understand how
> > tune
> > > the "compactness" parameter.
> > You can also use SLIC to label the image, and then compute features
> > each SLIC region. Or perhaps that is what is being suggested
> already, I
> > wasn't sure.
> > Stéfan
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the scikit-image