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Image segmentation arises in computer vision and digital signal processing. The goal of image segmentation is to partition a digital image into pieces, where each piece corresponds to some semantically important concept. Usually, this means that each pixel is assigned to one of the concepts. An simple example is dividing a picture of a person into the subject (the person in the foreground) and the background (whatever is behind and around the subject).

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How to perform user assisted image segmentation using Gaussian Mixture Models?

I have a general idea of Gaussian Mixture Models. My understanding: GMM is a way of clustering data points which, unlike K means clustering, soft assigns them under different distributions by calcula …
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