中国科学院研究生院学报2013，Vol.30Issue(2)：238-243,6.DOI:10.7523/j.issn.1002-1175.2013.02.015
基于模糊水平集的SAR图像分割方法
A new fuzzy level set method for SAR image segmentation
摘要
Abstract
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.关键词
SAR/图像分割/模糊聚类/水平集Key words
SAR/image segmentation/FCM/level set分类
天文与地球科学引用本文复制引用
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].中国科学院研究生院学报,2013,30(2):238-243,6.基金项目
国家自然科学基金(40971198)资助 （40971198）
