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Detecting 'anomalies' in structured / textured image

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Given a textured or a structured image, how can I localize anomalous segments ? For example a large crack or graffiti or just things that do not match well to the pattern (even a window like in the 3rd picture). I thought of using SLIC superpixels as the first stage but I was wondering if someone can post a link to a paper that discusses a similar problem. I am planning to make use of training data. ![image description](/upfiles/14706680242830685.jpg) ![image description](/upfiles/1470668099204791.jpg) ![image description](/upfiles/1470668278413925.jpg)

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