电讯技术2017，Vol.57Issue(9)：1023-1029,7.DOI:10.3969/j.issn.1001-893x.2017.09.008
融合多特征的图像检索算法
An Image Retrieval Algorithm Based on Multi-feature Fusion
摘要
Abstract
In order to solve the problem that the single feature cannot represent an image completely,an im-age retrieval algorithm based on multi-feature fusion is proposed. First,the generalized search tree( GIST) features of the query image and all the images in the image library are extracted. The similarity of two ima-ges is measured by the Euclidean distance. The image library is retrieved by the GIST feature of the query image,and the results are arranged by sorting the similarity value. Second,the scale invariant feature trans-form( SIFT) features of the query image are extracted as well as the k sub-images which are at the front of the returned results. Then,the feature matching is performed by best bin first( BBF) algorithm. Finally, the retrieval results are returned by sorting the number of matching points. The experiment is carried out on the improved Corel1000 dataset. Compared with traditional single feature image retrieval algorithms, the proposed algorithm not only improves the retrieval accuracy but also achieves better retrieval efficiency.关键词
图像检索/图像匹配/GIST特征/SIFT特征/特征提取Key words
image retrieval/image matching/GIST feature/SIFT feature/feature extraction分类
信息技术与安全科学引用本文复制引用
秦姣华,谢备,向旭宇,于文涛,易积政..融合多特征的图像检索算法[J].电讯技术,2017,57(9):1023-1029,7.基金项目
国家自然科学基金资助项目(61772561,61602528,61602529) （61772561,61602528,61602529）
