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• loop moments area for 2d coverage. Divide total by mode(?) for count.
• or use threshold to mask original, then target gradient values inrange between platelets in 2nd pass mask.
• or convexhull defects could subdivide blobs in an inexact way. depending on need of your application it may have some purpose in secondary factors. I am not in mutant science.
• or assuming a red blood cell is the spotted one, isolate those (RETR_CCOMP)... then from it's center draw a circle of average size. filled to mask or stroke to separate.

What is practical for your purpose? Can you present user UI controls for different model estimates? You may accept multiple samples of same image and process x times for more accuracy, especially if it's a partial view.

• loop moments area for 2d coverage. Divide total by mode(?) for count.
count.
• or use threshold to mask original, then target gradient values inrange between platelets in 2nd pass mask.
• or convexhull defects could subdivide blobs in an inexact way. depending on need of your application it may have some purpose in secondary factors. I am not in mutant science.
• or assuming a red blood cell is the spotted one, isolate those (RETR_CCOMP)... then from it's center draw a circle of average size. filled to mask or stroke to separate.

What is practical for your purpose? Can you present user UI controls for different model estimates? You may accept multiple samples of same image and process x times for more accuracy, especially if it's a partial view.