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[20]MA Jingjing,TIAN Dayong,GONG Maoguo,et al. 作者简介： Fuzzy clustering with non-local information for image 陆海青，男，1992年生，硕士研究 segmentation[J].International journal of machine learn- 生，主要研究方向为图像处理和模式 ing and cybernetics,2014,5(6):845-859. 识别。 [21]GUO Yanhui,SENGUR A.NCM:Neutrosophic c-means clustering algorithm[J].Pattern recognition,2015,48(8): 2710-2724. [22]崔西希，吴成茂.核空间中智模糊聚类及图像分割应用 J.中国图象图形学报，2016,21(10)少：1316-1327. 葛洪伟，男，1967年生，教授，博 CUI Xixi,WU Chengmao.Neutrosophic C-means clus- 士生导师，博士，主要研究方向为人工 tering in kernel space and its application in image seg- 智能与模式识别、机器学习、图像处理 mentation[J].Journal of image and graphics,2016 与分析。主持和承担国家自然科学基 21(10:1316-1327. 金等国家级项目和省部级项目近 [23]赵雪梅，李玉，赵泉华.结合马尔可夫高斯模型的双邻 20项，获省部级科技进步奖多项。发 域模糊聚类分割算法J刀.计算机辅助设计与图形学学 表学术论文百余篇。CHEN Songcan, ZHANG Daoqiang. Robust image seg￾mentation using FCM with spatial constraints based on new kernel-induced distance measure[J]. IEEE transac￾tions on systems, man, and cybernetics. part B: cybernet￾ics, 2004, 34(4): 1907–1916. [14] CAI Weiling, CHEN Songcan, ZHANG Daoqiang. Fast and robust fuzzy c-means clustering algorithms incorpor￾ating local information for image segmentation[J]. Pat￾tern recognition, 2007, 40(3): 825–838. [15] LI Ming, LI Yunsong. Fuzzy-c-means clustering based on the gray and spatial feature for image segmentation[C]// Proceedings of the 2006 International Conference on Computational Intelligence and Security. Guangzhou, China, 2006: 1641–1646. [16] 车娜, 车翔玖, 高占恒, 等. 基于局部熵最小化的核磁共 振脑图像二次分割算法[J]. 计算机研究与发展, 2010, 47(7): 1294–1303. CHE Na, CHE Xiangjiu, GAO Zhanheng, et al. Second￾ary segmentation algorithm for magnetic resonance brain image based on local entropy minimization[J]. Journal of computer research and development, 2010, 47(7): 1294– 1303. [17] 张建伟, 杨红, 陈允杰, 等. 局部熵驱动下的脑 MR 图像 分割与偏移场恢复耦合模型[J]. 中国图象图形学报, 2013, 18(8): 1011–1018. ZHANG Jianwei, YANG Hong, CHEN Yunjie, et al. Brain MR image segmentation and bias correction model based on local entropy[J]. Journal of image and graphics, 2013, 18(8): 1011–1018. [18] WANG Jianzhong, KONG Jun, LU Yinghua, et al. A modified FCM algorithm for MRI brain image segmenta￾tion using both local and non-local spatial constraints[J]. Computerized medical imaging and graphics, 2008, 32(8): 685–698. [19] MA Jingjing, TIAN Dayong, GONG Maoguo, et al. Fuzzy clustering with non-local information for image segmentation[J]. International journal of machine learn￾ing and cybernetics, 2014, 5(6): 845–859. [20] GUO Yanhui, SENGUR A. NCM: Neutrosophic c-means clustering algorithm[J]. Pattern recognition, 2015, 48(8): 2710–2724. [21] 崔西希, 吴成茂. 核空间中智模糊聚类及图像分割应用 [J]. 中国图象图形学报, 2016, 21(10): 1316–1327. CUI Xixi, WU Chengmao. Neutrosophic C-means clus￾tering in kernel space and its application in image seg￾mentation[J]. Journal of image and graphics, 2016, 21(10): 1316–1327. [22] 赵雪梅, 李玉, 赵泉华. 结合马尔可夫高斯模型的双邻 域模糊聚类分割算法[J]. 计算机辅助设计与图形学学 [23] 报, 2016, 28(4): 615–623. ZHAO Xuemei, LI Yu, ZHAO Quanhua. A fuzzy cluster￾ing image segmentation algorithm with double neighbor￾hood system combined with Markov Gaussian model[J]. Journal of computer-aided design and computer graphics, 2016, 28(4): 615–623. WU K L, YANG M S. Alternative c-means clustering al￾gorithms[J]. Pattern recognition, 2002, 35(10): 2267– 2278. [24] KRINIDIS S, CHATZIS V. A robust fuzzy local informa￾tion C-means clustering algorithm[J]. IEEE transactions on image processing, 2010, 19(5): 1328–1337. [25] 沙秀艳, 何友, 王贞俭. 邻域灰度差加权的模糊 C 均值 聚类图像分割算法[J]. 火力与指挥控制, 2008, 33(12): 34–36. SHA Xiuyan, HE You, WANG Zhenjian. An image seg￾mentation algorithm of weighted with neighborhood gray difference fuzzy C-means clustering[J]. Fire control and command control, 2008, 33(12): 34–36. [26] CHUANG K S, TZENG H L, CHEN S, et al. Fuzzy c￾means clustering with spatial information for image seg￾mentation[J]. Computerized medical imaging and graph￾ics, 2006, 30(1): 9–15. [27] XIE X L, BENI G. A validity measure for fuzzy cluster￾ing[J]. IEEE transactions on pattern analysis and machine intelligence, 1991, 13(8): 841–847. [28] KWAN R K S, EVANS A C, PIKE G B. MRI simulation￾based evaluation of image-processing and classification methods[J]. IEEE transactions on medical imaging, 1999, 18(11): 1085–1097. [29] WANG Zhou, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural sim￾ilarity[J]. IEEE transactions on image processing, 2004, 13(4): 600–612. [30] 作者简介： 陆海青，男，1992 年生，硕士研究 生，主要研究方向为图像处理和模式 识别。 葛洪伟，男，1967 年生，教授，博 士生导师，博士，主要研究方向为人工 智能与模式识别、机器学习、图像处理 与分析。主持和承担国家自然科学基 金等国家级项目和省部级项目近 20 项，获省部级科技进步奖多项。发 表学术论文百余篇。 第 4 期 陆海青，等：自适应灰度加权的鲁棒模糊 C 均值图像分割 ·593·