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Proceedings Paper

Remote sensing image segmentation using RPCCL and labeling watershed transform
Author(s): Xinhui Li; Renxi Chen
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Paper Abstract

Image segmentation is the technology that separating the image into several characteristic areas and is very important to image analysis. In this paper, we propose a new segmentation method based on rival penalized controlled competitive learning (RPCCL) and watershed transform. We apply watershed transform and RPCCL clustering algorithm separately on input image, and then combine the two results of them. Compared to traditional watershed segmentation, our method can avoid over-segmentation and obtain better results.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74981X (30 October 2009); doi: 10.1117/12.833691
Show Author Affiliations
Xinhui Li, Nanjing Univ. of Information Science and Technology (China)
Renxi Chen, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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