MRF model based image segmentationusing hierarchical distributed genetic algorithm
- 10 December 1998
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 34 (25) , 2394-2395
- https://doi.org/10.1049/el:19981674
Abstract
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.Keywords
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