WASET
	%0 Journal Article
	%A Rongtao Ding and  Xinhao Ji and  Linting Zhu
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 7, 2007
	%T Research on the Relevance Feedback-based Image Retrieval in Digital Library
	%U https://publications.waset.org/pdf/14781
	%V 7
	%X In recent years, the relevance feedback technology is regarded in content-based image retrieval. This paper suggests a neural networks feedback algorithm based on the radial basis function, coming to extract the semantic character of image. The results of experiment indicated that the performance of this relevance feedback is better than the feedback algorithm based on Single-RBF.

	%P 1895 - 1899