Image segmentation Using Parallel Tabu Search Algorithm and MRF Model
نویسندگان
چکیده
In the paper, we propose Tabu Search (TS) based schemes for image segmentation using Markov Random Field (MRF) model. The segmentation problem is formulated as pixel labeling problem and the MAP estimates of the labels were obtained by the two proposed TS algorithms. The TS algorithm was parallelized to improve the overall performance of the scheme. The performance of the algorithms was compared with Simulated Annealing (SA) algorithm and the algorithms outperformed the SA algorithm. The algorithms were tested for synthetic as well as real images.
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