[1] ECKHORN R, REITBOECK H J, ARNDT M, et al. Feature linking via stimulus-evoked oscillations:experimental results from cat visual cortex and functional implications from a network model[C]//Proceedings of the 1989 International Joint Conference on Neural Networks. Piscataway, NJ:IEEE, 1989:723-730. [2] LI J F, ZOU B J, DING L, et al. Image segmentation with PCNN model and immune algorithm[J]. Journal of Computer Systems, 2013, 8(9):2429-2436. [3] ZHOU D G, GAO C, GUO Y C. A coarse-to-fine strategy for iterative segmentation using simplified pulse-coupled neural network[J]. Soft Computing, 2014, 18(3):557-570. [4] 唐宁,江贵平,吕庆文.优化的PCNN自适应三维图像分割算法[J].计算机应用研究,2012,29(4):1591-1594.(TANG N, JIANG G P, LYU Q W. Adaptive 3D image segmentation based on optimized PCNN[J]. Application Research of Computers, 2012, 29(4):1591-1594.) [5] 马义德,戴若兰,李廉.一种基于脉冲耦合神经网络和图像熵的自动图像分割方法[J].通信学报,2002,23(1):46-51.(MA Y D, DAI R L, LI L. Automated image segmentation using pulse coupled neural networks and image's entropy[J]. Journal of China Institute of Communications, 2002, 23(1):46-51.) [6] 于江波,陈后金,王巍,等.脉冲耦合神经网络在图像处理中的参数确定[J].电子学报,2008,36(1):81-85.(YU J B, CHEN H J, WANG W, et al. Parameter determination of pulse coupled neural network in image processing[J]. Acta Electronica Sinica, 2008, 36(1):81-85.) [7] 赵峙江,赵春晖,张志宏.一种新的PCNN模型参数估算方法[J].电子学报,2007,35(5):996-1000.(ZHAO Z J, ZHAO C H, ZHANG Z H. A new method of PCNN's parameter's optimization[J]. Acta Electronica Sinica, 2007, 35(5):996-1000.) [8] YONEKAWA M, KUROKAWA H. An automatic parameter adjustment method of pulse coupled neural network for image segmentation[C]//Proceedings of the 200919th International Conference on Artificial Neural Networks, LNCS 5768. Berlin:Springer, 2009:834-843. [9] LI X J, MA Y D, FENG X W. Self-adaptive autowave pulse-coupled neural network for shortest-path problem[J]. Neurocomputing, 2013, 115:63-71. [10] UNNIKRISHNAN R, PANTOFARU C, HEBERT M. Toward objective evaluation of image segmentation algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):929-944. [11] 景晓军,蔡安妮,孙景鳌.一种基于二维最大类间方差的图像分割算法[J].通信学报,2001,22(4):71-76.(JING X J, CAI A N, SUN J A. Image segmentation based on 2D maximum between-cluster variance[J]. Journal of China Institute of Communications, 2001, 22(4):71-76.) [12] 景晓军,李剑峰,刘郁林.一种基于三维最大类间方差的图像分割算法[J].电子学报,2003,31(9):1281-1285.(JIAO X J, LI J F, LIU Y L. Image segmentation based on 3-D maximum between-cluster variance[J].Acta Electronica Sinica, 2003, 31(9):1281-1285.) [13] 范九伦,赵凤,张雪峰.三维Otsu阈值分割方法的递推算法[J].电子学报,2007,35(7):1398-1402.(FAN J L, ZHAO F, ZHANG X F. Recursive algorithm for three-dimensional Otsu's thresholding segmentation method[J]. Acta Electronica Sinica, 2007, 35(7):1398-1402.) [14] HELEN R, KAMARAJ N, SELVI K, et al. Segmentation of pulmonary parenchyma in CT lung images based on 2D Otsu optimized by PSO[C]//Proceedings of the 2011 International Conference on Emerging Trends in Electrical and Computer Technology. Piscataway, NJ:IEEE, 2011:536-541. [15] 邓凯英,邓竞伟,孙铁利.基于Tempered Lévy Flight随机游走模型的布谷鸟搜索算法[J].计算机应用研究,2016,33(10):2992-2996.(DENG K Y, DENG J W, SUN T L. Cuckoo search algorithm based on Tempered Lévy Flight random walk model[J]. Application Research of Computers, 2016, 33(10):2992-2996.) [16] 刘长平,叶春明.一种新颖的仿生群智能优化算法:萤火虫算法[J].计算机应用研究,2011,28(9):3295-3297.(LIU C P, YE C M. Novel bioinspired swarm intelligence optimization algorithm:firefly algorithm[J]. Application Research of Computers, 2011, 28(9):3295-3297.) [17] 熊志辉,李思昆,陈吉华.遗传算法与蚂蚁算法动态融合的软硬件划分[J].软件学报,2005,16(4):503-512.(XIONG Z H, LI S K, CHEN J H. Hardware/software partitioning based on dynamic combination of genetic algorithm and ant algorithm[J]. Journal of Software, 2005, 16(4):503-512.) [18] 姜枫,顾庆,郝慧珍,等.基于内容的图像分割方法综述[J].软件学报,2017,28(1):160-183.(JIANG F, GU Q, HAO H Z, et al. Survey on content-based image segmentation methods[J]. Journal of Software, 2017, 28(1):160-183.) [19] LI Z Q, CHEN J S. Superpixel segmentation using linear spectral clustering[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2015:1356-1363. [20] ACHANTA R, SHAJI A, SMITH K, et al. SLIC superpixels compared to state-of-the-art superpixel methods[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(11):2274-2282. [21] LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2015:3431-3440. [22] HARIHARAN B, ARBELAEZ P, GIRSHICK R, et al. Hypercolumns for object segmentation and fine-grained localization[C]//Proceedings of the 2015 IEEE Computer Conference on Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2015:447-456. [23] ZHENG S, JAYASUMANA S, ROMERA-PAREDES B, et al. Conditional random fields as recurrent neural networks[C]//Proceedings of the 2015 IEEE Computer Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2015:1529-1537. [24] EVERINGHAM M, WILLIAMS C. The PASCAL Visual Object Classes challenge 2010(VOC2010) part 1-challenge & classification task[C]//Proceedings of the 2010 International Conference on Machine Learning Challenges:Evaluating Predictive Uncertainty Visual Object Classification. Berlin:Springer, 2010:117-176. |