Automatic feature weight assignment based on genetic algorithm for image retrieval

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. In this paper, an automatic feature weight assignment approach based on genetic algorithm is proposed. The problem of weight assignment is firstly changed into optimization problem, and 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 than the others´ weight assignment methods. This approach is robust to various kinds of features and feature representation methods, and it can get the best feature combination for image retrieval.