Image segmentation using support vector machine

Haixiang Xu; Guangxi Zhu; Jinwen Tian; Xiang Zhang; Fuyuan Peng

doi:10.1117/12.655253

3 November 2005 Image segmentation using support vector machine

Haixiang Xu, Guangxi Zhu, Jinwen Tian, Xiang Zhang, Fuyuan Peng

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441U (2005) https://doi.org/10.1117/12.655253
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

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.

Citation Download Citation

Haixiang Xu, Guangxi Zhu, Jinwen Tian, Xiang Zhang, and Fuyuan Peng "Image segmentation using support vector machine", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441U (3 November 2005); https://doi.org/10.1117/12.655253

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