An Image Retrieval method based on Local Features of Interest Points

摘要：

　　To measure the similarity between two images,the local information around all the points were usually used for traditional image retrieval methods based on interest points.The accuracy would be influenced by the dissimilar interest points in the background region or in the uninterested regions.A new image retrieval method based on interest points was proposed in this paper.The most similar interest points were chosen firstly based on feature matching techniques,then the similarity was measured based on the local gray information around the preserved similar interest points.Experiments show that the proposed method is more accurate than traditional image retrieval method based on interest points.

关键词： Image retrieval local feature interest point

作者: Xiang Fu Jun-ting Wang Jie-xian Zeng

作者单位: School of Computing of Nanchang Hangkong University, Nanchang, Jiangxi 330063, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3789-3793

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）