Research on the relevance feedback-based image retrieval in e-commerce

The relevance feedback technology is regarded in content-based image retrieval in recent years. This paper suggests a neural networks feedback algorithm based on the radial basis function, coming to extract the semantic character of image. This article emphatically studied the neural networks relevance feedback algorithm based on the radial basis function, and carried on the confirmation through the experiment. The performance of the neural networks relevance feedback algorithm based on the radial basis function is better than the feedback algorithm based on the Single-RBF.