关键词: 基于内容的图像检索, 遗传算法, 特征权重

Abstract: Integrating multiple features content-based image retrieval can overcome the problems of single feature，but how to organize these features and feature representation methods are difficult in image retrieval.An automatic feature weight assignment approach based on genetic algorithm is proposed.First the problem of weight assignment is changed into optimization problem，then genetic algorithm is used for finding the optimization weight in order to get the best retrieval results.The experimental results show that the recall and precision of this proposed approach is better.This approach is robust to various kinds of features and feature representation methods，and it can get the best feature combination for image retrieval.

Key words: content-based image retrieval, genetic algorithm, feature weigh