So I've gotten pretty good preliminary results with segmentation on my data set. I was wondering does anyone have any ideas or experience with different things to try getting better and better results and improve the model? Data I am working with is pretty noisy/blurry, but it segments ok. Just wondering if anyone had any advice, particularly with getting extra separation between individual units.
I have read a few things like classifying the borders as a separate class, which I did, and using watershed as a preprocessing stage, which didn't seem to work for me. If anyone has some literature they can refer me to let me know!
So I've gotten pretty good preliminary results with segmentation on my data set. I was wondering does anyone have any ideas or experience with different things to try getting better and better results and improve the model? Data I am working with is pretty noisy/blurry, but it segments ok. Just wondering if anyone had any advice, particularly with getting extra separation between individual units.
I have read a few things like classifying the borders as a separate class, which I did, and using watershed as a preprocessing stage, which didn't seem to work for me. If anyone has some literature they can refer me to let me know!