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