Hi Valeriy, Wow a compression technique! That would surely be a great addition.
I am studying a shape descriptors and would like to compute a chain code description of a labeled shape. I was trying to look into docs but have not find a direct way to get this region property with skimage. Is there any way to do it in a few calls which I missed?
- Extract the boundary. `skimage.morphology.erosion` using `skimage.morphology.disk` structuring element with radius 1. Then subtract this from the original image. - Label the boundaries. If you already have a labeled image, then that saves you a function call else there is `label` function in `skimage.morphology`. - Use `np.transpose(np.where(label == 1))` to generate the indices of pixels marked as label 1. This will return a `list` of indices. You can simply use the first as the starting point. This should help set up the stage for the traversal. Hope this helps a bit. Chintak.