Approaches of Confirming ROI and Calculating Similarity for ROIBIR System

摘要：

Approaches of ROI(Regions of Interest) confirmed and similarity calculated are key techniques for ROIBIR(Regions of Interest-Based Image Retrieval) System. In this paper, two approaches of confirming ROI and a Region-based similarity measure approach are proposed Two approaches of confirming ROI which consider enough the visibility of image regions, the possibility of designating region and its weight by users make the image retrieval system include human perception and accord with human vision habits. For the proposed calculating similarity approach, firstly, the similarity of two regions with the combination features, histogram and region shape features, is computed respectively.Then, the similarity of two regions is calculated by the weight product method. The average similarity of all regions is regarded as the similarity between ROI and target image. Experiments show the proposed approaches are available.

作者: Ai-min Yang Ling-min Jiang Yong-mei Zhou Su-mei Li

作者单位: School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China School of Co School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, China Educational Technology Center, Guangdong University of Foreign Studies, Guangzhou 510006, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1405-1409

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）