Using Pearson correlation coefficient as a shape descriptor
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https://en.wikipedia.org/wiki/Pearson_correlation_coefficient
Hello, as you can read in the page reported above, the pearson correlation coefficient could be used as shape descrtiptor. I would like to use that method to extract some features from a segmented image: in particular, I would like to distinguish element with an approximate linear shape (r=+-1) from the other elements (r<<1). I have an image with several segmented objects and I would like to evaluate that coefficient per each object.
Please can you help me?
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