基于色彩的图像数据库检索方法的研究  

STUDY OF COLOR BASED RETRIEVAL FOR IMAGE DATABASE

作　　者：李向阳[1] 鲁东明[1] 潘云鹤[1] 

机构地区：[1]浙江大学人工智能研究所

出　　处：《计算机研究与发展》1999年第3期359-363,共5页Journal of Computer Research and Development

基　　金：国家自然科学基金

摘　　要：文中论述了基于色彩的图像检索方法，对色彩空间的选择、色彩聚类方法、色彩直方图的距离、以及基于图像分割的色彩直方图等方面进行了详细的论述；为提高图像检索的效率和精度，采用了多阶段相似比较的方法．Color is a kind of basic element composed of image content,and it is also one of the important perceptive features for human to recognize image.A color based image retrieval method is presented in the paper,with emphasis on the choice of color space,the algorithm of color cluster,the distance of color histograms,and the color histograms of image segmentation.The primary goal of image database is to retrieve image data efficiently and accurately,but the efficiency and accuracy of retrieval algorithm are mutually effected.In the process of image retrieval,the multi step similar comparison of coarse granularity and fine granularity is adopted.At the beginning,the coarse granularity comparison is used to filter some irrelevant images,reducing the extent of retrieval,and then the fine granularity comparison is adopted to increase the accuracy of retrieval.

关 键 词：图像数据库 色彩直方图 图像检索 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]