Describing superpixels

[Brickle Macho]

Hi St�fan
> 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.
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