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Estimation of local second-degree variation should be a natural first step in computerized image analysis, just as it seems to be in human vision. A prevailing obstacle is that the second derivatives entangle the three features, signal strength (i.e., magnitude or energy), orientation, and shape. To disentangle these features we propose a technique where the orientation of an arbitrary pattern f is...
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