Performance Evaluation of SVM in Image Segmentation

摘要：

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.

作者: Xu Haixiang Cao Wanhua Chen Wei Guo Liyuan

作者单位: College of Computer Science and Technology,Harbin Engineering University,Harbin.Heilongjiang,150001; College of Computer Science and Technology,Harbin Engineering University,Harbin.Heilongjiang,150001; Wuhan Digital Engineering Institute,Wuhan.Hubei,430074

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）