Hi, I am new to python and image processing, which may be my problem, but I don't understand how to interpret/use the integer mask indicating segment labels output from the SLIC and Quickshift algorithms. I have a RGB-D image. Using only RGB I segment the image into superpixels using SLIC and Quickshift algorithms provided in scikit-image. I am trying visit each superpixel, calculate some depth features for each superpixel. Specifically I want to calculate the surface normal of the superpixel and the average angular difference with the neighbouring superpixels. Eventually I plan to combine the superpixels based on these depth features. Could someone explain the segment_mask format/structure and how I should use the mask? Thanks in advance. Brickle. --