[1] Hurney P, Waldron P, Morgan F, et al. Review of pedestrian detection techniques in automotive far-infrared video［J］. IET Intelligent Transport Systems, 2015, 9(8): 824-832.

[2] 何玉杰, 李 敏, 张金利, 等. 基于相关滤波器的红外弱小目标检测算法［J］. 光学学报, 2016, 36(5): 0512001.

    He Yujie, Li Min, Zhang Jinli, et al. Infrared small target detection method based on correlation filter［J］. Acta Optica Sinica, 2016, 36(5): 0512001.

[3] 刘 让, 王德江, 贾 平, 等. 红外图像弱小目标探测技术综述［J］. 激光与光电子学进展, 2016, 53(5): 050004.

    Liu Rang, Wang Dejiang, Jia Ping, et al. Overview on small target detection technology in infrared image［J］. Laser & Optoelectronics Progress, 2016, 53(5): 050004.

[4] Zhou D G, Zhou H, Gao C, et al. Simplified parameters model of PCNN and its application to image segmentation［J］. Pattern Analysis and Applications, 2016, 19(4): 939-951.

[5] 王 博, 万 磊, 李 晔, 等. 基于自适应脉冲耦合神经网络的水下激光图像分割方法［J］. 光学学报, 2015, 35(4): 0410004.

    Wang Bo, Wan Lei, Li Ye, et al. Underwater laser image segmentation method based on adaptive pulse coupled neural networks［J］. Acta Optica Sinica, 2015, 35(4): 0410004.

[6] 苏 娟, 李 冰, 王延钊. 结合PCNN 分割和模糊集理论的红外图像增强［J］. 光学学报, 2016, 36(9): 0910001.

    Su Juan, Li Bing, Wang Yanzhao. Infrared image enhancement based on PCNN segmentation and fuzzy set theory［J］. Acta Optica Sinica, 2016, 36(9): 0910001.

[7] Kuntimad G, Ranganath H S. Perfect image segmentation using pulse coupled neural networks［J］. IEEE Transactions on Neural Networks, 1999, 10(3): 591-598.

[8] Stewart R D, Fermin I, Opper M. Region growing with pulse-coupled neural networks: an alternative to seeded region growing［J］. IEEE Transactions on Neural Networks, 2002, 13(6): 1557-1562.

[9] 严春满, 郭宝龙, 马义德, 等. 一种新的基于双层PCNN的自适应图像分割算法［J］. 光电子·激光, 2011, 22(7): 1102-1106.

    Yan Chunman, Guo Baolong, Ma Yide, et al. New adaptive algorithm for image segmentation using the dual-level PCNN model［J］. Journal of Optoelectronics · Laser, 2011, 22(7): 1102-1106.

[10] Bi Y, Qiu T, Li X, et al. Automatic image segmentation based on a simplified pulse coupled neural network［J］. Lecture Notes in Computer Science, 2004, 3174: 405-410.

[11] Wei S, Hong Q, Hou M. Automatic image segmentation based on PCNN with adaptive threshold time constant［J］. Neurocomputing, 2011, 74(9): 1485-1491.

[12] 曲仕茹, 杨红红. 基于遗传算法参数优化的PCNN红外图像分割［J］. 强激光与粒子束, 2015, 27(5): 32-37.

    Qu Shiru, Yang Honghong. Infrared image segmentation based on PCNN with genetic algorithm parameter optimization［J］. High Power Laser and Particle Beams, 2015, 27(5): 32-37.

[13] Tan W C, Isa N A M. Segmentation and detection of human spermatozoa using modified pulse coupled neural network optimized by particle swarm optimization with mutual information［C］. 10th Conference on Industrial Electronics and Applications, IEEE, 2015: 192-197.

[14] 吴 骏, 刘玉伟, 肖志涛, 等. 结合果蝇算法优化PCNN和相位一致性的图像检索［J］. 计算机辅助设计与图形学学报, 2015, 27(8): 1483-1489.

    Wu Jun, Liu Yuwei, Xiao Zhitao, et al. Image retrieval combining FOA optimized PCNN and phase congruency［J］. Journal of Computer-Aided Design and Computer Graphics, 2015, 27(8): 1486-1490.

[15] Chen Y, Park S K, Ma Y, et al. A new automatic parameter setting method of a simplified PCNN for image segmentation［J］. IEEE Transactions on Neural Networks, 2011, 22(6): 880-892.

[16] 周东国, 高 潮, 郭永彩. 一种参数自适应的简化PCNN图像分割方法［J］. 自动化学报, 2014(6): 1191-1197.

    Zhou Dongguo, Gao Chao, Guo Yongcai. Adaptive simplified PCNN parameter setting for image segmentation［J］. Acta Automatica Sinica, 2014, 40(6): 1191-1197.

[17] Gao C, Zhou D, Guo Y. An iterative thresholding segmentation model using a modified pulse coupled neural network［J］. Neural Processing Letters, 2014, 39(1): 81-95.

[18] Lindblad T, Kinser J M. Image processing using pulse coupled neural networks［M］. Berlin: Springer, 2013: 11-19.

[19] 唐 麟, 刘 琳, 苏君红. 红外图像噪声建模及仿真研究［J］. 红外技术, 2014, 36(7): 542-548.

    Tang Lin, Liu Lin, Su Junhong. Modeling and simulation research of infrared image noise［J］. Infrared Technology, 2014, 36(7): 542-548.

[20] 王娴雅, 陈 钱, 顾国华. 一种新的各向异性扩散红外噪声实时抑制算法［J］. 光学学报, 2009, 29(1): 176-179.

    Wang Xianya, Chen Qian, Gu Guohua. Real-time infrared noise reduction based on anisotropic diffusion method［J］. Acta Optica Sinica, 2009, 29(1): 176-179.

[21] Nomnob N, Kitjaidure Y. Adaptive window size multi-focus images fused based on sum of modified Laplacian［C］. Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering, IEEE, 2014.

[22] Unnikrishnan R, Pantofaru C, Hebert M. Toward objective evaluation of image segmentation algorithms［J］. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2007, 29(6): 929-944.

[23] Martin D, Fowlkes C, Tal D, et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics［C］. International Conference on Computer Vision, IEEE, 2001, 2: 416-423.