Image Retrieval Based on Composite of Mean Shift and Assignment Model

摘要：

A new image retrieval method, which is based on composite of mean shift and assignment model and referred to CMSAM, is proposed. it matches each significant cluster of target image with one of retrieval image one by one and uses assignment model to seek a optimum cluster-pairs set between the two images. Based on the optimum cluster-pairs set, a similarity measure is defined. In comparison with most widely used methods based on color histogram, experimental results show that both recall and precision with CMSAM are improved significantly, in particular it can effectively retrieve such two images that their structures are similar but their colors are not identical, however, those methods cant achieve such an retrieval result.

关键词： image retrieve assignment model primary cluster similarity

作者: Wenbing Chen Qizhou Li Jianwei Yang

作者单位: College of Mathematics & Physics Nanjing University of Information Science & Technology,NUIST Nanjing,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 568-571

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）