I have a series of images that show aquaculture netting against a uniform background. The netting accumulates darker fouling (i.e. slime!) over time. I’m looking to find a semi-automated or automated way to segregrate netting from background. The images have been taken with reasonable but not perfect lighting control, and so there are slight variations in background brightness across images and also between images. There are so many options on how we might handle this in ImageJ - the auto threshold methods, the standard segmentation plugins, and presumably a number of other plugins available from 3rd party update sites. I’m hoping someone with more experience can give me some tips on which methods to explore. The goal is take an image like the one below and segment into two categories (classes?) of pixels - foreground (the netting and fouling combined) and background (the real world background).