Image Retrieval Relevance Feedback Algorithm Based on Particle Swarm Optimization
Chunguang Zhou · Dianzi xuebao · 2010
The evolution searching process of particle swarm optimization(PSO) algorithm and user feedback process are combined effectively,and an image retrieval relevance feedback(RF) algorithm based on PSO is proposed,in which the influence to user perception and limitation to feedback effect caused by initial retrieval are avoided.The algorithm makes users′understanding to the retrieval goal become clear gradually,could search image database effectively and comprehensively,and at the same time it could avoid the contradiction of efficiency and retrieval effect caused by multi-feedback.Experiments have verified the validity of the proposed algorithm.