I’ve also been looking into how to change the texture system to be consistent, i tried using a custom made value co-occurance system (Results in image) and used that to get an AI-coded GLCM based co-occurance system to try to get a texture but it genuinely seems like there is no real distrinction between the dense and the mixed classes in terms of texture, so I do think I’ve run into a wall here. Without neural networks (Which would ruin the point of having interpretability in my program) i genuinely dont know how I would fix this. So, I’m deciding to temporarily scrap the texture idea for my own program. to make up for this because I still want something to distinguish my algorithm or make it unique, i was just thinking to have some system such that with a large sample size, it uses EMD to find the best 25 centeroid/medoid images to create a (near) perfectly representative hue-saturation histogram. Actually I think I do want some kind of texture detection but it doesnt necessarily have to be with the value channel since that varies with luminance a ton lol