关键词: 多特征, 图像检索, 遗传算法, 特征权重调整

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 is difficult in image retrieval.A feature weight assignment approach based on relevance feedback of utilizing genetic algorithm is proposed.By utilizing genetic algorithm and feature weight assignment，the semantic gap between the visual feature and semantic feature is reduced，and the best retrieval results are got in short time.The experimental results show that the recall and precision of this proposed approach are better.This approach can get the best retrieval results for different integrating multiple features.

Key words: multiple features, image retrieval, genetic algorithm, feature weight assignment