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One of the big challenges faced by content-based image retrieval (CBIR) is the 'semantic gap' between the visual features and the richness of human semantics for image content. We put forward a neural network approach to extract the image fuzzy semantics ground on linguistic expression based image description framework (LEBID). We utilize the linguistic variable to depict the texture semantics according to Tamura texture model, so we can describe the image in linguistic expression such asdoi:10.1109/ijcnn.2007.4371021 dblp:conf/ijcnn/LiSL07 fatcat:fstomomw7nhgrdlarlbqkrqnhq