'Evaluating Dots and Noise in an Image

I have an image that consists of small black dots, and in each dot's vicinity there is some noise that appears as grayish smudge. I'm trying to use some sort of image processing in Python in order to find both the number of (correct) dots and the number of noise smudges, as well as calculate their paramaters (i.e size).

I was thinking of using some sort of contour detection with a certain threshold, since the dots' borders are more distinct, but perhaps there's a better way that I'm not familiar with.

Thank you for your help!

Example Image

pythonalgorithmimageopencv


Solution 1:[1]

Use the Pillow module to analyze each pixel color and compare it against whether its RGB values added together (Assuming its only black and white) are:
Black: 0
Grey: 1-764
White: 765
Hope that helps

Sources

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Source: Stack Overflow

Solution Source
Solution 1 Seth Edwards

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