Hi, If you look for a numpy friendly gtraph library, I would strongly recommend graph-tool <http://projects.skewed.de/graph-tool/> It's verry efficient, well documented and Tiago answers really quickly to questions on the mailing list. Plus it's package for debian distros. Cheers, Guillaume Le 22/04/2013 10:46, Brickle Macho a écrit :

Hi Stéfan

...

If you had a mask for an individual superpixel, and indices into your array, x, y, z, you can imagine finding the coordinates of all pixels under that mask with

x[mask], y[mask], z[mask]

The mask you typically recover from a label image, so, e.g., mask = (labels == 3).

Thanks.

...

Now, the trickier problem is figuring out where, relative to other super-pixels, this one is located. For that, it may be better to represent the image as a graph, where each node represents a super-pixel, and edges represent links to other super-pixels (in fact, I assumed/hoped there is some python based graph library that was numpy friendly.

...

this is something we should implement in scikit-image to make handling labels easier).

Would you be interested in collaborating on such a feature? Sure. I am still feeling my way, but am willing to contribute what every way I can.

Regards,

Michael.