关键词: 图形模糊聚类, 正则化, 鲁棒分割, 空间邻域信息

Abstract: Considering the existing picture fuzzy clustering algorithm with poor rationality and weak ability of suppressing noise, a picture fuzzy clustering robust algorithm embedded with symmetric regularization term is proposed. Firstly, a symmetric regularized term is constructed by combining the neutral degree with the refusal degree of picture fuzzy clustering and let into the objective function of existing picture fuzzy clustering. Secondly, the spatial information constraint regulari-zation item is constructed by using the mean information corresponding to the pixel neighborhood. Finally, the regularized picture fuzzy clustering robust segmentation algorithm is obtained by means of Lagrange multiplier method. The segmentation results of different images interfered with noise show that the proposed segmentation algorithm is effective, and has stronger ability of suppressing noise than existing robust fuzzy clustering segmentation algorithms.

Key words: picture fuzzy clustering, regularization, robust segmentation, spatial neighbor information