[1] Gao C, Zhou D G, Guo Y C. Automatic iterative algorithm for image segmentation using a modified pulse-coupled neural network. Neurocomputing, 2013, 119:332-338 doi: 10.1016/j.neucom.2013.03.025
[2] Wei S, Hong Q, Hou M S. Automatic image segmentation based on PCNN with adaptive threshold time constant. Neurocomputing, 2011, 74(9):1485-1491 doi: 10.1016/j.neucom.2011.01.005
[3] 汪海洋, 潘德炉, 夏德深.二维Otsu自适应阈值选取算法的快速实现.自动化学报, 2007, 33(9):968-972 doi: 10.1360/aas-007-0968

Wang Hai-Yang, Pan De-Lu, Xia De-Shen. A fast algorithm for two-dimensional Otsu adaptive threshold algorithm. Acta Automatica Sinica, 2007, 33(9):968-972 doi: 10.1360/aas-007-0968
[4] Kim B G, Park D J. Novel target segmentation and tracking based on fuzzy membership distribution for vision-based target tracking system. Image and Vision Computing, 2006, 24(12):1319-1331 doi: 10.1016/j.imavis.2006.04.008
[5] 范朝冬, 张英杰, 欧阳红林, 肖乐意.基于改进斜分Otsu法的回转窑火焰图像分割.自动化学报, 2014, 40(11):2480-2489 http://www.aas.net.cn/CN/Y2014/V40/I11/2480

Fan Chao-Dong, Zhang Ying-Jie, Ouyang Hong-Lin, Xiao Le-Yi. Improved Otsu method based on histogram oblique segmentation for segmentation of rotary kiln flame image. Acta Automatica Sinica, 2014, 40(11):2480-2489 http://www.aas.net.cn/CN/Y2014/V40/I11/2480
[6] 聂守平, 王鸣, 刘峰.低对比度图像分割算法研究.中国激光, 2004, 31(1):89-91 http://www.cnki.com.cn/Article/CJFDTOTAL-JJZZ200401026.htm

Nie Shou-Ping, Wang Ming, Liu Feng. Image segmentation algorithm study for low contrast image. Chinese Journal of Lasers, 2004, 31(1):89-91 http://www.cnki.com.cn/Article/CJFDTOTAL-JJZZ200401026.htm
[7] 郭海涛, 田坦, 王连玉, 张春田.利用二维属性直方图的最大熵的图像分割方法.光学学报, 2006, 26(4):506-509 http://www.cnki.com.cn/Article/CJFDTOTAL-GXXB200604005.htm

Guo Hai-Tao, Tian Tan, Wang Lian-Yu, Zhang Chun-Tian. Image segmentation using the maximum entropy of the two-dimensional bound histogram. Acta Optica Sinica, 2006, 26(4):506-509 http://www.cnki.com.cn/Article/CJFDTOTAL-GXXB200604005.htm
[8] 龙建武, 申铉京, 陈海鹏.自适应最小误差阈值分割算法.自动化学报, 2012, 38(7):1134-1144 doi: 10.3724/SP.J.1004.2012.01134

Long Jian-Wu, Shen Xuan-Jing, Chen Hai-Peng. Adaptive minimum error thresholding algorithm. Acta Automatica Sinica, 2012, 38(7):1134-1144 doi: 10.3724/SP.J.1004.2012.01134
[9] 刘金, 金炜东. 3维自适应最小误差阈值分割法.中国图象图形学报, 2013, 18(11):1416-1424 http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB201311004.htm

Liu Jin, Jin Wei-Dong. Three-dimensional adaptive minimum error thresholding segmentation algorithm. Journal of Image and Graphics, 2013, 18(11):1416-1424 http://www.cnki.com.cn/Article/CJFDTOTAL-ZGTB201311004.htm
[10] 范九伦, 雷博.二维直线型最小误差阈值分割法.电子与信息学报, 2009, 31(8):1801-1806 http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200908006.htm

Fan Jiu-Lun, Lei Bo. Two-dimensional linear-type minimum error threshold segmentation method. Journal of Electronics and Information Technology, 2009, 31(8):1801-1806 http://www.cnki.com.cn/Article/CJFDTOTAL-DZYX200908006.htm
[11] 吴一全, 占必超, 吴加明.基于类内绝对差和混沌粒子群的红外图像分割.光学学报, 2010, 30(1):79-85 doi: 10.3788/AOS

Wu Yi-Quan, Zhan Bi-Chao, Wu Jia-Ming. An infrared image segmentation method based on within-class absolute difference and chaotic particle swarm optimization. Acta Optica Sinica, 2010, 30(1):79-85 doi: 10.3788/AOS
[12] 李昱川, 田铮.基于图的加权核K均值的图像多尺度分割.光学学报, 2009, 29(10):2762-2767 doi: 10.3788/AOS

Li Yu-Chuan, Tian Zheng. Multiscale image segmentation based on graph weighted kernel K-means. Acta Optica Sinica, 2009, 29(10):2762-2767 doi: 10.3788/AOS
[13] 乔立永, 徐立新, 高敏.红外成像制导二维斜分最大熵分割的快速实现.红外与激光工程, 2013, 42(7):1691-1699 http://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ201307009.htm

Qiao Li-Yong, Xu Li-Xin, Gao Min. Fast maximum entropy thresholding based on two-dimensional histogram oblique segmentation in infrared imaging guidance. Infrared and Laser Engineering, 2013, 42(7):1691-1699 http://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ201307009.htm
[14] 胡敏, 李梅, 汪荣贵.改进的Otsu算法在图像分割中的应用.电子测量与仪器学报, 2010, 24(5):443-449 doi: 10.3724/SP.J.1187.2010.00443

Hu Min, Li Mei, Wang Rong-Gui. Application of an improved Otsu algorithm in image segmentation. Journal of Electronic Measurement and Instrument, 2010, 24(5):443-449 doi: 10.3724/SP.J.1187.2010.00443
[15] 张天序, 赵广州, 王飞, 朱光喜.一种快速递归红外舰船图像分割新算法.红外与毫米波学报, 2006, 25(4):225-230 http://www.cnki.com.cn/Article/CJFDTOTAL-HWYH200604012.htm

Zhang Tian-Xu, Zhao Guang-Zhou, Wang Fei, Zhu Guang-Xi. Fast recursive algorithm for infrared ship image segmentation. Journal of Infrared and Millimeter Waves, 2006, 25(4):225-230 http://www.cnki.com.cn/Article/CJFDTOTAL-HWYH200604012.htm
[16] Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on System Man and Cybernetic, 1979, 9(1):62-66 doi: 10.1109/TSMC.1979.4310076
[17] 许向阳, 宋恩民, 金良海. Otsu准则的阈值性质分析.电子学报, 2009, 37(12):2716-2719 http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU200912019.htm

Xu Xiang-Yang, Song En-Min, Jin Liang-Hai. Characteristic analysis of threshold based on Otsu criterion. Acta Electronica Sinica, 2009, 37(12):2716-2719 http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU200912019.htm
[18] 华罗庚.优选法.北京:科学出版社, 1981.

Hua Luo-Geng. Optimum Selection Method. Beijing:Science Press, 1981.
[19] 解永春, 吴宏鑫.黄金分割在自适应鲁棒控制器设计中的应用.自动化学报, 1992, 18(2):177-185 http://www.aas.net.cn/CN/Y1992/V18/I02/177

Xie Yong-Chun, Wu Hong-Xin. The application of the golden section in adaptive robust controller design. Acta Automatica Sinica, 1992, 18(2):177-185 http://www.aas.net.cn/CN/Y1992/V18/I02/177
[20] Sen S K, Ravi P A. Golden ratio in science, as random sequence source, its computation and beyond. Computers and Mathematics with Applications, 2008, 56(2):469-468 doi: 10.1016/j.camwa.2007.06.030
[21] Lu Y. A golden section approach to optimization of automotive friction materials. Journal of Materials Science, 2003, 38(5):1081-1085 doi: 10.1023/A:1022362217043
[22] Cai J M, Han D, Chen C X, Chen S Y. Application of the golden section search algorithm in the nonlinear isoconversional calculations to the determination of the activation energy from nonisothermal kinetic conversion data. Solid State Sciences, 2010, 12(5):829-833 doi: 10.1016/j.solidstatesciences.2010.02.010
[23] Tsai C H, Kolibal J, Li M. The golden section search algorithm for finding a good shape parameter for meshless collocation methods. Engineering Analysis with Boundary Elements, 2010, 34(8):738-746 doi: 10.1016/j.enganabound.2010.03.003
[24] Stakhov A P. The Generalized Principle of the Golden Section and its applications in mathematics, science, and engineering. Chaos, Solitons and Fractals, 2005, 26(2):263-289 doi: 10.1016/j.chaos.2005.01.038
[25] 周祥, 何小荣, 陈丙珍.基于最优变异因子的遗传算法在ANN训练中的应用.清华大学学报(自然科学版), 2002, 42(5):619-621 http://www.cnki.com.cn/Article/CJFDTOTAL-QHXB200205013.htm

Zhou Xiang, He Xiao-Rong, Chen Bing-Zhen. Best mutation coefficient genetic algorithm for ANN training. Journal of Tsinghua University (Science and Technology), 2002, 42(5):619-621 http://www.cnki.com.cn/Article/CJFDTOTAL-QHXB200205013.htm
[26] 李道平, 姚小兰, 伍清河, 曲亦直.自适应小波去噪算法及其在偏心补偿中的应用.北京理工大学学报, 2010, 30(2):179-182, 196 http://www.cnki.com.cn/Article/CJFDTOTAL-BJLG201002014.htm

Li Dao-Ping, Yao Xiao-Lan, Wu Qing-He, Qu Yi-Zhi. Self-adaptive wavelet threshold de-noising method and its application in the compensation of roll eccentricity signal. Transactions of Beijing Institute of Technology, 2010, 30(2):179-182, 196 http://www.cnki.com.cn/Article/CJFDTOTAL-BJLG201002014.htm
[27] 魏雪峰, 刘晓.基于2维最大熵最佳阈值算法的图像分割研究.激光技术, 2013, 37(4):519-522 http://www.cnki.com.cn/Article/CJFDTOTAL-JGJS201304024.htm

Wei Xue-Feng, Liu Xiao. Research of image segmentation based on 2-D maximum entropy optimal threshold. Laser Technology, 2013, 37(4):519-522 http://www.cnki.com.cn/Article/CJFDTOTAL-JGJS201304024.htm
[28] 洪霞, 周牧, 田增山, 董会宁.基于二维最大熵阈值分割的SIFT图像匹配算法.半导体光电, 2013, 34(4):689-693, 705 http://www.cnki.com.cn/Article/CJFDTOTAL-BDTG201304036.htm

Hong Xia, Zhou Mu, Tian Zeng-Shan, Dong Hui-Ning. SIFT image matching algorithm based on two-dimensional maximum entropy-aided threshold segmentation. Semiconductor Optoelectronics, 2013, 34(4):689-693, 705 http://www.cnki.com.cn/Article/CJFDTOTAL-BDTG201304036.htm
[29] 康家银, 纪志成, 龚成龙.一种核模糊C均值聚类算法及其应用.仪器仪表学报, 2010, 31(7):1657-1663 http://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201007038.htm

Kang Jia-Yin, Ji Zhi-Cheng, Gong Cheng-Long. Kernelized fuzzy C-menas clustering algorithm and its application. Chinese Journal of Scientific Instrument, 2010, 31(7):1657-1663 http://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201007038.htm
[30] Ji Z X, Xia Y, Chen Q, Sun Q S, Xia D S, Feng D D. Fuzzy c-means clustering with weighted image patch for image segmentation. Applied Soft Computing, 2012, 12(6):1659-1667 doi: 10.1016/j.asoc.2012.02.010
[31] Wang H, Zhang H, Ray N. Adaptive shape prior in graph cut image segmentation. Pattern Recognition, 2013, 46(5):1409-1414 doi: 10.1016/j.patcog.2012.11.002