计算机工程与应用2016，Vol.52Issue(7)：181-185,270,6.DOI:10.3778/j.issn.1002-8331.1404-0356
基于多特征高效索引的图像检索
Image retrieval based on efficient index of multi-features
摘要
Abstract
In order to improve the accuracy and speed of image retrieval, a method based on multi-features is presented in this paper. Based on the asymmetrical quantization of color space, improved color coherence vectors are used to extract the color feature;improved gray level co-occurrence matrix is utilized as the texture feature;Krawtchouk moment invari-ants are introduced to extract the shape feature; it is clustered based on the contribution and establishes image feature index library. The similarity between images is computed based on multi-features fusion, and image fast retrieval is obtain-able by using the feature index. Related experiments show that the retrieval precision of the proposed algorithm is improved greatly with faster retrieval speed.关键词
颜色聚合向量/灰度共生矩阵/Krawtchouk矩/贡献度Key words
color coherence vectors/gray level co-occurrence matrix/Krawtchouk moment/contribution分类
计算机与自动化引用本文复制引用
张永库,李云峰,孙劲光..基于多特征高效索引的图像检索[J].计算机工程与应用,2016,52(7):181-185,270,6.基金项目
国家科技支撑计划（No.2013bah12f01）。 （）
