西北师范大学学报（自然科学版）Issue(4)：48-58,11.
一种基于去除干扰基团 Markov 随机场的SAR 图像分割算法
A SAR image segmentation method based on the removed interference clique M arkov random field
摘要
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 .关键词
Markov随机场/条件迭代模型/区域生长Key words
Markov random field/iterated conditional model/region growing分类
信息技术与安全科学引用本文复制引用
方晓峰,李应岐,王静..一种基于去除干扰基团 Markov 随机场的SAR 图像分割算法[J].西北师范大学学报（自然科学版）,2014,(4):48-58,11.基金项目
第二炮兵工程大学青年基金资助项目 （）
