基于区域色彩纹理特征描述和DPF匹配的图像检索  

Image Retrieval Based on Regional Color-Texture Features Description and DPF Matching

作　　者：王桂婷[1] 郭志芳[1] 焦李成[1] 

机构地区：[1]西安电子科技大学智能信息处理研究所,西安710071

出　　处：《电子与信息学报》2008年第5期1113-1117,共5页Journal of Electronics & Information Technology

基　　金：国家973计划项目(2001CB309403);国家自然科学基金重点项目(60472084);陕西省自然科学基金项目(D70106020036)资助课题

摘　　要：该文给出了一种彩色图像检索的新方法。在特征描述时,首先划分连通区域,进而求取勒让德色度矩和纹理共生矩阵,获取区域的色彩和纹理特征(Regional Color and Texture,RCT);在相似度匹配时,将动态局部距离函数(Dynamic Partial distance Function,DPF)应用到动态区域匹配中。实验结果显示,该RCT-DPF方法对彩色图像检索是有效的,并且优于纹理共生矩阵、基于色彩连通的图像纹理检索方法和非DPF区域匹配的多特征描述方法。A new method for color image retrieval is introduced in this paper. At first, the image is parted into some connected regions. Rational Legendre chromaticity distribution moments and texture co-occurrence matrices are computed to represent the color and texture features （Regional Color Texture： RCT）. Then, Dynamic Partial distance Function （DPF） and dynamic regions matching are used to weight RCT features, for short RCT DPF. Experimental results indicate that this method RCT-DPF has good performance in image retrieval. To compare with Texture Co-occurrence Matrices（TCM）, Multi-component Co-occurrence Matrices（MCM） and RCT, RCT-DPF is better precision.

关 键 词：区域色彩纹理 动态局部距离函数 勒让德色度矩 纹理共生矩阵 加权DPF匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]