In a an image with sufficient contrast between the foreground and the background, thresholding and using the fast radial symmetry transform[1] should do the tri

In a an image with sufficient contrast between the foreground and the background, thresholding and using the fast radial symmetry transform[1] should do the trick. I have some really old code that I wrote a few years back that does something similar. I was able to use the same algorithm for counting objects in images captured from a Neubauer chamber [2] and saved countless man hours at my university. Disclaimer: the project is really old, and from a time when I barely knew how to code. Lots of bad coding practices et al. Github: https://github.com/vibhuagrawal14/segmentation-of-overlapping-elliptical-objects https://github.com/vibhuagrawal14/segmentation-of-overlappin... [1] https://link.springer.com/content/pdf/10.1007%2F3-540-47969-4_24.pdf https://link.springer.com/content/pdf/10.1007%2F3-540-47969-... [2] https://www.researchgate.net/figure/Images-of-Canis-familiaris-blood-sample-in-a-Neubauer-chamber-acquired-using-focus-a_fig3_315590666 https://www.researchgate.net/figure/Images-of-Canis-familiar...