Edge detection through a time-homogeneous markov chain
Abstract
A Monte Carlo-type stochastic algorithm for edge detection is presented. It takes a suitable monotone decreasing function of the norm of gradient of a low-pass filtered image as 'cost' and seeks the 'valleys' of the associated landscape simulation studies and mathematical analysis are presented.
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