Finally I got around to wrap vlfeats quickshift features to python.
These can be used to easily build (hierarchical) segmentations or superpixels in images. They can also be used for other clustering tasks but this was the main goal.
You can find my wrappers on github.
If you want, you canflattr me.
I build upon mmmikaels python wrappers and upgraded to vlfeat 0.9.9.
I didn't see if the compiling problems I addressed earlier are still present in this version but I'll check it and try to fix it in my branch.
I am planing to use this together with the sift features for some superpixel and bow based image segmentation.
Before that I used Turbo Pixels by Alex Levinshtein.
Maybe I will write some python wrappers for his Matlab code, too.
Also I just found a brand new paper on TurboPixels, called TurboPixel Segmentation Using Eigen-Images.
I'll dig into it right now :)