A New Method for Content-Based Image Retrieval via Subsets of Key Contours Fragments

摘要：

　　In this paper,a novel method is proposed for solving an open problem of shape matching in content-based image retrieval.In order to prepare for matching two images,our novel method uses an improved segment method to get more accurate contours.And then we find a new way to extract the key contour fragments,so that a shape can be presented as many key contour fragments in this way.It is an effective way to do analysis in image contour.In addition,a similar measure method is proposed to get the correlation rate of two images via subsets of key contour fragments.Finally,experiment results show that our new method can get more robustness than existing methods and achieve a superior matching effect in the standard shape databases MPEG-7.

关键词： Image Retrieval Content Based Contour Fragments Fragments Subset Image Segmentation

作者: Chuanqi Tan Yufeng Chen Fengxia Li Zhizhong Yang

作者单位: Beijing Key Laboratory of Digital Performance and Simulation TechnologyBeijing Institute of technology.Beijing 100081, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 792-796

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）