A Relevance Feedback Image Retrieval Approach Based on RGA

Relevance Feedback is one of the key technologies of Content-Based Image Retrieval, which has an important impact on performance of retrieval. Give a Relevance Feedback image retrieval approach based on RGA. Introduce the relevant technologies and evaluation methods of Relevance Feedback. Expound the design of fitness function and genetic operator of real-code Genetic Algorithm. As show as the experiment, the methods improve the performance of retrieval, good results can be obtained.