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Proceedings Paper

An improved watershed-based SAR image segmentation algorithm
Author(s): Shuang Wang; Xiaojing Zhang; Licheng Jiao; Xiangrong Zhang
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Paper Abstract

The watershed transform is a well-established tool for image segmentation. However, watershed segmentation is often not effective for Synthetic Aperture Radar (SAR) images which are generally corrupted by coherent speckle noise. This paper presents a novel approach for SAR image segmentation using watershed segmentation algorithm combined with Otsu. The aim of this study is to improve the generalization of watershed techniques and to construct a well segmentation of SAR images. Typically, Otsu is used to produce inner mark and external mark. Then we use the mark to modify the gradient image of the SAR image. Additionally, rather than flooding the gradient image, we use the gradient image modified by the mark as input to the watershed algorithm. Experimental results demonstrate the superior performance of the improved watershed-based SAR segmentation.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951R (30 October 2009); doi: 10.1117/12.832892
Show Author Affiliations
Shuang Wang, Xidian Univ. (China)
Xiaojing Zhang, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Xiangrong Zhang, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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