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We show how to segment a photo of coins, separating the foreground from the background. Our process is to denoise the image (using a median filter), and to then apply watershed segmentation. The resulting segments are cleaned up, using region properties and K-means clustering. There are certainly many other ways of approaching this problem, e.g ...
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