The first picture below is the original image, showing a net. The ropes in the net are of two types: thick and thin. It is necessary to distinguish which are thick ropes and which are thin ropes through OpenCV, and measure their angles respectively.

I have trained a yolov9 model on custom dataset for instance segmentation, now I want to get segmentation area after segmentation.

I am a beginner in this topic, I have pictures of food trays and I would like to segment only the food items if they exist, I might have some empty trays. Could someone please tell me what’s the best approach to do so ?

I’m working on a project to detect Omega-like wrinkles in the forehead (a diagnostic feature of depression). I found Hessian filter to be a good way to detect wrinkles based on this paper: