Edge Detection by Helmholtz Principle |
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Authors: | Agnès Desolneux Lionel Moisan Jean-Michel Morel |
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Affiliation: | (1) CMLA, ENS Cachan, 61 av. du président Wilson, 94235 Cachan cedex, France |
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Abstract: | We apply to edge detection a recently introduced method for computing geometric structures in a digital image, without any a priori information. According to a basic principle of perception due to Helmholtz, an observed geometric structure is perceptually meaningful if its number of occurences would be very small in a random situation: in this context, geometric structures are characterized as large deviations from randomness. This leads us to define and compute edges and boundaries (closed edges) in an image by a parameter-free method. Maximal detectable boundaries and edges are defined, computed, and the results compared with the ones obtained by classical algorithms. |
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Keywords: | image analysis perception Helmholtz principle edge detection large deviations |
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