Anyone may help me with this (Image texturing and segmentation)

1. Segment your medical image to 150 super pixels using the k-means algorithm. 2. Compute on each super-pixel the texture features 3. Segment this image using the Otsu algorithm using the texture features instead of the intensity for 2 classes 4. Compare with the intensities based methods

[Florian Morsch]

For 1, this might help: https://de.mathworks.com/help/images/ref/superpixels.html

And for 3, this: https://de.mathworks.com/help/images/ref/otsuthresh.html?searchHighlight=otsuthresh&s_tid=doc_srchtitle