Journal of University of Chinese Academy of Sciences >
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
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
MAO Wan-Feng , ZHANG Hong , ZHANG Bo , WANG Chao . A new fuzzy level set method for SAR image segmentation[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(2) : 238 -243 . DOI: 10.7523/j.issn.1002-1175.2013.02.015
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