关键词: 图像检索, 图像分割, 相似度计算, 相关反馈, 支持向量机

Abstract: A novel image retrieval method based on region and relevance feedback is proposed in this paper.At first，the proposed approach employs a improved K-mean and fully unsupervised segmentation algorithm to divide images into regions，and low-level feature for the color，position，shape of each region are subsequently extracted and applied in similarity measurement.At last a relevance feedback mechanism，based on support vector machines is invoked to improve the retrieval performance.The experiment results show that the method can get better retrieval performance.

Key words: image retrieval, image segmentation, similarity measure, Relevance feedback, support vector machines