关键词: 颜色特征提取, 平均颜色特征, 人工免疫, 聚类分析

Abstract: With the development of image retrieval system，the organizing and managing of image database effectively has been a key of users’ retrieving.The algorithm of image clustering based on artificial immune has been proposed in this paper，and the image database including of 60 images in the internet has been clustered by simulating the principle of antibody capturing antigen.Before clustering，the average color feature of images has been extracted，and the mean value has been obtained，at the same time，the performance of this algorithm and the K-average clustering algorithm have been compared.The result of experiment has indicated that the algorithm has some merits such as low time complexity，low clustering error，better clustering ability，and can improve the retrieval efficiency.

Key words: color feature extraction, average color feature, artificial immune, clustering analysis