Computer Science ›› 2014, Vol. 41 ›› Issue (8): 306-310.doi: 10.11896/j.issn.1002-137X.2014.08.065
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CUI Li-qun,SONG Xiao,LI Hong-xu and ZHANG Ming-jie
[1] 罗希平,田捷,诸葛婴,等.图像分割方法综述[J].模式识别与人工智能,1999,12(03):300-312 [2] Sezgin M,Sankur B.Servey over image thresholding techniques and quantitative performance evaluation[J].Journal of ElectronicImaging,2004,3(1):146-165 [3] 宋翠家,龙建忠,罗代升.基于遗传算法的模糊熵多阈值图像分割[J].仪器表学报,2004(z1):572-573 [4] Jiang Hua-wei,Yang Kai.Study of improved immune genetic algorithm for threshold image segmentation based on fuzzy maximum entropy[C]∥Proceedings of 2010 International Confe-rence on Computer,Mechatronics,Control and Electronic Engineering (CMCE 2010).2010 [5] 张国权.基于遗传算法的彩色图像多阈值分割方法研究[J].电子设计工程,2011,9(9):43-45 [6] 马磊,岳振军,王曙光.基于遗传算法的模糊多阈值图像分割方法[J].解放军理工大学学报:自然科学版,2003,4(6):37-40 [7] Ye Zhi-wei,Hu Zheng-bing,Wang Hua-min,et al.A ImageThresholding Method Based on Binary Coded Ant Colony Algorithm [C]∥2010 2nd International Workshop on Intelligent Systems and Applications (ISA).2010:1-4 [8] Wang Xiao-nian,Feng Yuan-jing,Feng Zu-ren.Ant colony optimization for image segmentation [C]∥Proceedings of 2005 International Conference on Machine Learning and Cybernetics.2005:5355-5360 [9] Gao Hao,Xu Wen-bo,Sun Jun,t al.Multilevel Thresholding for Image Segmentation Through an Improved Quantum-Behaved Particle Swarm Algorithm [J].IEEE Transactions on Instrumentation and Meas-urement,2010,9(4):934-946 [10] Cao Bin,Shen Xuan-jing,Qian Qing-ji.Application of two-order particle swarm optimization algorithm in image segmentation[C]∥2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design (CAIDCD).2010:749-752 [11] Zhang Xue-feng,Shang Jin-kui.Application of image segmentation algorithm based on particle swarm optimization and rough entropy standard[C]∥Control and Decision Conference.2009:2905-2909 [12] 武燕,张冰.基于改进粒子群算法的多阈值图像分割[J].微型电脑应用,2011,7(05):59-61,70 [13] 李厚强,刘政凯,詹曙.一种彩色纹理图像的分割方法[J].计算机学报,2001,4(9):965-971 [14] 史春奇,施智平,刘曦,等.基于自组织动态神经网络的图像分割[J].计算机研究与发展,2009,6(01):23-30 [15] 赵于前,李慧芬,王小芳.基于模拟退火算法的多阈值图像分割[J].计算机应用研究,2010,7(01):380-382 [16] 张引,潘云鹤.基于模拟退火的最大似然聚类图像分割算法[J].软件学报,2001,2(02):212-218 [17] Wang Qing-sheng,Zhang Yue-qin,et al.Improved genetic neural network for image segmentation [C]∥2011 IEEE 18Th International Conference on Industrial Engineering and Engineering Management (IE&EM).2011:1694-1698 [18] 纪则轩,陈强,孙权森,等.各向异性权重的模糊C均值聚类图像分割[J].计算机辅助设计与图形学学报,2009,1(10):1451-1459,1466 [19] 李晓磊.一种新型的智能优化方法-人工鱼群算法[D].杭州:浙江大学,2003 [20] 王培崇,雷凤君,钱旭.改进人工鱼群算法及其收敛性分析[J].科学技术与工程,2013,3(3):616-620 [21] 陈广洲,汪家权,李传军,等.一种改进的人工鱼群算法及其应用[J].系统工程,2009,7(12):105-110 [22] 刘彦君,江铭炎.自适应视野和步长的改进人工鱼群算法[J].计算机工程与应用,2009,5(25):35-37,47 [23] 朱命昊,厍向阳.求解旅行商问题的改进人工鱼群算法[J].计算机应用研究,2010,7(10):3734-3736 [24] 刘佳,刘丽娜,李靖,等.基于模拟退火算法的改进人工鱼群算法研究[J].计算机仿真,2011,8(10):195-198 [25] 王联国,洪毅,赵付青,等.一种改进的人工鱼群算法[J].计算机工程,2008,4(19):192-194 [26] 江铭炎,袁东风.人工鱼群算法及其应用[M].北京:科学出版社,2012 [27] Pun T.ANewMethod for Gray-Level Picture ThresholdingUsing the Entroy of the Histgran[J].Signal Processing,1980,7(2):223-237 [28] Kapur J,Sahop P,Wong A.ANewMethod for Grey-Level Pic-ture Thresholding Using the Entropy of the Histogram[J].Computer Vision Graphics and Image Processing,1985,4(29):210-239 [29] Kapur J N.Maximum Entropy Models in Science and Enginee-ring[M].New Delhi:Wiley Eastern,1989 |
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