关键词: 颜色聚合向量, 灰度共生矩阵, Krawtchouk矩, 贡献度

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 invariants 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 obtainable by using the feature index. Related experiments show that the retrieval precision of the proposed algorithm is improved greatly with faster retrieval speed.

Key words: color coherence vectors, gray level co-occurrence matrix, Krawtchouk moment, contribution