A new edge detection algorithm based on a Markov random field and a Boltzmann machine is described
where both gray-level information and local edge structures are included. It mainly consists of two steps: (1)Estimation of model parameters using the Boltzmann machine; (2)An iterative search algorithm based on the Boltzmann machine. Experimental results are given to verify the reliability of the proposed method.