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A SAR image segmentation method based on the removed interference clique M arkov random field
Pages: 48-58
Year: Issue:  4
Journal: Journal of Northwest Normal University(Natural Science)

Keyword:  Markov random fielditerated conditional modelregion growing;
Abstract: This article discusses the relationship between the Markov random field model and image . With aid of the iterated conditional model (ICM ) algorithm , the labels of the image were updated , and then combined with region growing thoughts for segmentation of SAR image post-processing , a SAR image segmentation method is given based on removed the interference clique Markov random field . The numerical experiments have been compared with the traditional Markov segmentation algorithm in terms of segmentation time , iteration numbers , and convergence energy . The results showing that this method has higher segmentation accuracy , more smooth target boundaries and better segmentation effects .
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