·280· 智能系统学报 第14卷 特征的二维Osu曲线阈值分割法).计算机应用研究， [13]CHEN Songcan,ZHANG Daoqiang.Robust image seg- 2012,29(5):1987-1989,2000 mentation using FCM with spatial constraints based on ZHAO Feng,FAN Jiulun,PAN Xiaoying,et al.Two-di- new kernel-induced distance measure[J].IEEE transac- mensional Otsu's curve thresholding segmentation meth- tions on systems,man and cybernetics,part B(cybernet- od based on gray and non local spatial gray feature[J].Ap- ics),2004,344):1907-1916. plication research of computers,2012,29(5):1987-1989, [14]Do M N.VETTERLI M.Wavelet-based texture retrieval 2000. using generalized Gaussian density and Kullback-Leibler [5]代沁伶，王雷光，洪亮.融合边缘测度的自然场景彩色图 distance[J].IEEE transactions on image processing,2002. 像区域分割[J].中国图象图形学报，2013,18(5)： 11(2):146-158. 523-528. [15]CAI Weiliang,CHEN Songcan,ZHANG Daoqiang.Fast DAI Qinling,WANG Leiguang,HONG Liang.Regional and robust fuzzy c-means clustering algorithms incorpor- segmentation of natural scene color images by integrating ating local information for image segmentation[J.Pat- edge cues[J].Journal of image and graphics,2013,18(5): tern recognition,2007,40(3):825-838. 523-528. [16]YANG Y,ZHENG C,LIN P.Fuzzy c-means clustering [6]VINCENT L,SOILLE P.Watersheds in digital spaces:an algorithm with a novel penalty term for image segmenta- efficient algorithm based on immersion simulations[J]. tion[J].Opto-electronics review,2005,13(4):309 IEEE transactions on pattern analysis and machine intelli- [17]GONG Maoguo,LIANG Yan,SHI Jiao,et al.Fuzzy C- gence,1991,13(6:583-598 [7]CHOUDHRY MS,KAPOOR R.Performance analysis of means clustering with local information and kernel met- fuzzy C-means clustering methods for MRI image seg- ric for image segmentation[J].IEEE transactions on im- mentation[J].Procedia computer science,2016,89: age processing,2013,22(2):573-584. 749-758. 作者简介： [8]KRINIDIS S,CHATZIS V.A robust fuzzy local informa- 狄岚，女，1965年生，副教授，主要 tion C-means clustering algorithm[J].IEEE transactions on 研究方向为模式识别和数字图像处 image processing,2010,19(5):1328-1337. 理。授权国家发明专利20多项。发 [9]王昭，娄吴，范九伦.一种基于模糊C均值的图像超像 表学术论文40余篇。 素分割方法).微电子学与计算机，2014(10)：18-21,27. WANG Zhao,LOU Hao,FAN Jiulun.Fuzzy C-means clustering algorithm with superpixel for image segmenta- tion[J].Microelectronics and computer,2014(10):18-21,27. 刘海涛，男，1991年生，硕士研究 [10]孙权森，纪则轩.基于模糊聚类的脑磁共振图像分割算 生，主要研究方向为图像处理。 法综述).数据采集与处理，2016,31(128-42. SUN Quansen,JI Zexuan.Fuzzy clustering for brain MR image segmentation[J].Journal of data acquisition pro- cessing,2016,31(1):28-42. [11]DUNN J C.A fuzzy relative of the ISODATA process 何锐波，男.1994年生，硕士研究 and its use in detecting compact well-separated clusters[J]. 生，主要研究方向为图像处理和机器 Journal of cybernetics,1973,3(3):32-57. 学习。 [12]AHMED M N,YAMANY S M,MOHAMED N,et al.A modified fuzzy C-means algorithm for bias field estima- tion and segmentation of MRI data[J].IEEE transactions on medical imaging,2002,21(3):193-199特征的二维 Otsu 曲线阈值分割法 [J]. 计算机应用研究, 2012, 29(5): 1987–1989, 2000. ZHAO Feng, FAN Jiulun, PAN Xiaoying, et al. Two-di￾mensional Otsu' s curve thresholding segmentation meth￾od based on gray and non local spatial gray feature[J]. Ap￾plication research of computers, 2012, 29(5): 1987–1989, 2000. 代沁伶, 王雷光, 洪亮. 融合边缘测度的自然场景彩色图 像区域分割 [J]. 中国图象图形学报, 2013, 18(5): 523–528. DAI Qinling, WANG Leiguang, HONG Liang. Regional segmentation of natural scene color images by integrating edge cues[J]. Journal of image and graphics, 2013, 18(5): 523–528. [5] VINCENT L, SOILLE P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations[J]. IEEE transactions on pattern analysis and machine intelli￾gence, 1991, 13(6): 583–598. [6] CHOUDHRY M S, KAPOOR R. Performance analysis of fuzzy C-means clustering methods for MRI image seg￾mentation[J]. Procedia computer science, 2016, 89: 749–758. [7] 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. [8] 王昭, 娄昊, 范九伦. 一种基于模糊 C 均值的图像超像 素分割方法 [J]. 微电子学与计算机, 2014(10): 18–21, 27. WANG Zhao, LOU Hao, FAN Jiulun. Fuzzy C-means clustering algorithm with superpixel for image segmenta￾tion[J]. Microelectronics and computer, 2014(10): 18–21, 27. [9] 孙权森, 纪则轩. 基于模糊聚类的脑磁共振图像分割算 法综述 [J]. 数据采集与处理, 2016, 31(1): 28–42. SUN Quansen, JI Zexuan. Fuzzy clustering for brain MR image segmentation[J]. Journal of data acquisition & pro￾cessing, 2016, 31(1): 28–42. [10] DUNN J C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters[J]. Journal of cybernetics, 1973, 3(3): 32–57. [11] AHMED M N, YAMANY S M, MOHAMED N, et al. A modified fuzzy C-means algorithm for bias field estima￾tion and segmentation of MRI data[J]. IEEE transactions on medical imaging, 2002, 21(3): 193–199. [12] 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. [13] Do M N, VETTERLI M. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance[J]. IEEE transactions on image processing, 2002, 11(2): 146–158. [14] CAI Weiliang, 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] YANG Y, ZHENG C, LIN P. Fuzzy c-means clustering algorithm with a novel penalty term for image segmenta￾tion[J]. Opto-electronics review, 2005, 13(4): 309. [16] GONG Maoguo, LIANG Yan, SHI Jiao, et al. Fuzzy C￾means clustering with local information and kernel met￾ric for image segmentation[J]. IEEE transactions on im￾age processing, 2013, 22(2): 573–584. [17] 作者简介： 狄岚，女，1965 年生，副教授,主要 研究方向为模式识别和数字图像处 理。授权国家发明专利 20 多项。发 表学术论文 40 余篇。 刘海涛，男，1991 年生，硕士研究 生，主要研究方向为图像处理。 何锐波，男，1994 年生，硕士研究 生，主要研究方向为图像处理和机器 学习。 ·280· 智 能 系 统 学 报 第 14 卷