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Proceedings Paper

Image segmentation using support vector machine
Author(s): Haixiang Xu; Guangxi Zhu; Jinwen Tian; Xiang Zhang; Fuyuan Peng
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Paper Abstract

Image segmentation is a necessary step in image analysis. Support vector machine is considered a good candidate because of its good generalization performance, especially when the number of training samples is very small and the dimension of feature space is very high. The presented paper investigates image segmentation using support vector machine. Experimental results show that Support vector machine is a promising technique in image segmentation.

Paper Details

Date Published: 3 November 2005
PDF: 9 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441U (3 November 2005); doi: 10.1117/12.655253
Show Author Affiliations
Haixiang Xu, Huazhong Univ. of Science and Technology (China)
Guangxi Zhu, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)
Xiang Zhang, Huazhong Univ. of Science and Technology (China)
Fuyuan Peng, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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