关键词: 基于内容的图像检索，语义鸿沟，相关反馈，模糊语义相关矩阵

Abstract: The semantic gap between low level visual features and high level semantic concepts is an obstacle to the development of image retrieval. Relevance feedback techniques narrow the semantic gap to some extent. A relevance feedback algorithm was presented based on fuzzy semantic relevance matrix(FSRM). During the retrieval process, the weights in the FSRM are adjusted according to user's feedback and the FSRM arc modified by learning more time. Experimental results show the effectiveness of the algorithm.

Key words: CBIR,Semantic gap,Rclcvance fecdback,Fuzzy semantic relevance matrix