关键词: 图像检索, 图像分割, 模糊C均值, 聚类

Abstract: A new image retrieval method using high-level semantics is presented in this paper.First，the proposed approach employs a segmentation algorithm based on color and space to divide images into regions，and low-level feature for the color，shape，position，and texture of each region are subsequently extracted.The cluster image object using these features and then the semantic feature is gained；FCM is used to cluster image.In image retrieval，the querying image is compared to cluster center，then retrieved in the class with the minimal distance.The experiment results show that the proposed approach has an excellent precision and has reduced the “semantic gap” between the visual feature and semantic visual.

Key words: image retrieval, image segmentation, FCM, Clustering