Content-Based Image Retrieval by DTCWT Feature

摘要：

This paper presents an multiscale image retrieval algorithm which uses a new class of image features as the image descriptors, from the DTCWT(Dual-Tree complex wavelet transform). It uses DTCWT to detect keypoints, make feature vectors which are invariant to image scaling, translation and rotation as similar as SlFT(Scale Invariant Feature Transform) feature, compare the similarity of the features with Euclidean distance, compute the similarity of the images with the statistic information of matching features. We do experiments in the Corel image database and compare with the AF-SIFT(Attention model based SIFT filtration). Experiments show that our algorithm is more appropriate for image retrieval.

关键词： DTCWT feature extraction image retrieval

作者: CHEN Feng YU Song-nian

作者单位: School of Computer Engineering and Science Shanghai University Shanghai,China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 283-286

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）