Image Retrieve Based on Primary Clusters
In this paper, a new image retrieval method, which uses the two primary features of image cluster to retrieve image, i.e., the average color value and the number of pixels for each cluster, is proposed. In comparison with popular methods, since this method uses both color feature and structure feature, it is good to solve such a sort of image retrieval questions for two images that they are similar but not identical color. Experimental results show that this method not only enhances the flexibility of system retrieval, but also achieves prominent effects for image retrieval.
image retrieve primary cluster similarity filtering
Wenbing Chen Jianwei Yang Wangwei
College of Mathematics & Physics Nanjing University of Information Science & Technology,NUIST Nanjing,China
国际会议
The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)
西安
英文
357-360
2009-08-18(万方平台首次上网日期,不代表论文的发表时间)