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MRF model based image segmentation using hierarchical distributed genetic algorithm

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4 Author(s)
Hang Joon Kim ; Dept. of Comput. Eng., Kyung Pook Nat. Univ., Taegu, South Korea ; Eun Yi Kim ; Jin Wook Kim ; Se Hyun Park

An unsupervised method for segmenting noisy and blurred images is proposed. A Markov random field (MRF) model is used which is robust to degradation. Since this is computationally intensive, a hierarchical distributed genetic algorithm (HDGA) is used which is unsupervised and parallel. Experimental results show that the proposed method is effective at segmenting real images

Published in:

Electronics Letters  (Volume:34 ,  Issue: 25 )