Color Image Segmentation Using Watershed and Nystr.m Method based Spectral Clustering

摘要：

Color image segmentation draws a lot of attention recently. In order to improve efficiency of spectral clustering in color image segmentation, a novel two-stage color image segmentation method is proposed. In the first stage, we use vector gradient approach to detect color image gradient information, and watershed transformation to get the pre-segmentation result. In the second stage, Nystr.m extension based spectral clustering is used to get the final result. To verify the proposed algorithm, it is applied to color images from the Berkeley Segmentation Dataset. Experiments show our method can bring promising results and reduce the runtime significantly.

关键词： color image segmentation spectral clustering watershed transformation vector gradient approach nystr(o)m extension

作者: Xiaodong Bai Zhiguo Cao Zhenghong Yu Hu Zhu

作者单位: National Key Lab of Sci. & Tech. on Multispectral Information Processing,Inst. for Pattern Recognition & AI, Huazhong Univ. of Sci. & Tech, Wuhan, 430074

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-8

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）