A Robust Unsupervised Algorithm of Contour Extraction 1182

摘要：

Contour extraction is key to automatic object detection.Affected by illumination,clutter and occlusion,extracting contours from real images without templates is a difficult task.In order to improve robustness of unsupervised algorithms of contour extraction,a spectral graph based algorithm searching in two directions is presented.Compared with homogeneous methods,our algorithm is more robust to noise.The experimental results on Berkley Image Base also show efficiency of our method.

作者: Qi Zou Siwei Luo Yaping Huang

作者单位: Dept.of Computer and Information Technology,Beijing Jiaotong Univ.,Beijing China

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）