收稿日期: 2012-03-09
修回日期: 2012-04-19
网络出版日期: 2012-04-19
基金资助
国家自然科学基金(40971198)资助
A new fuzzy level set method for SAR image segmentation
Received date: 2012-03-09
Revised date: 2012-04-19
Online published: 2012-04-19
毛万峰 , 张红 , 张波 , 王超 . 基于模糊水平集的SAR图像分割方法[J]. 中国科学院大学学报, 2013 , 30(2) : 238 -243 . DOI: 10.7523/j.issn.1002-1175.2013.02.015
We present a new method which integrates fuzzy c-means cluttering and region-based level set evolution for SAR image segmentation. Benefited by spatial fuzzy clustering, the initial level set segmentation approximates the component of interest. The controlling parameters are also estimated on the basis of the results of the spatial fuzzy clustering. The proposed method was evaluated on synthetic and real SAR images, and the results show that the new method is more robust, fast, and accurate in segmentation and does not need manual intervention.
Key words： SAR; image segmentation; FCM; level set
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