计算机技术、信息电子 |
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基于蜂群优化或分解的二维Arimoto灰度熵阈值分割 |
吴一全1,2,3,4,殷骏1,朱丽1,袁永明2 |
1.南京航空航天大学 电子信息工程学院,江苏 南京 210016;2. 农业部淡水渔业和种质资源利用重点实验室 中国水产科学研究院淡水渔业研究中心,江苏 无锡214081;3. 农业部渔业装备与工程技术重点实验室,上海 200092;4. 江苏省制浆造纸科学与技术重点实验室,江苏 南京 210037 |
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Two dimensional Arimoto gray entropy image thresholding based on bee colony optimization or decomposition |
WU Yi quan1,2,3,4, YIN Jun1, ZHU Li1, YUAN Yong ming2 |
1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; 2. Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China; 3. Key Laboratory of Fishery Equipment and Engineering, Ministry of Agriculture, Shanghai 200092, China; 4. Jiangsu Provincial Key Laboratory of Pulp and Paper Science and Technology, Nanjing 210037, China |
[1] 吴一全, 朱兆达. 图像处理中阈值选取方法30年(1962-1992)的进展(二)[J]. 数据采集与处理, 1993, 8(4): 268-282.
WU Yi quan, ZHU Zhao da. 30 years (19621992) of the developments in threshold selection methods in image processing (Ⅱ) [J]. Journal of Data Acquisition and Processing, 1993, 8(4): 268-282.
[2] MAHMOUDI L, EL ZAART A. A survey of entropy image thresholding techniques [C] ∥ 2012 2nd International Conference on Advances in Computational Tools for Engineering Applications. Beirut:IEEE, 2012:204-209.
[3] YIN J, WU Y Q, ZHU L. Multi thresholding based on symmetric Tsallis cross entropy and particle swarm optimization [J]. Advanced Materials Research, 2013, 760: 1457-1461.
[4] KAPUR J N, SAHOO P K, WONG A K C. A new method for gray level picture thresholding using the entropy of histogram [J]. Computer Vision, Graphics and Image Processing, 1985, 29(1): 273-285.
[5] BRINK A D. Thresholding of digital images using two dimensional entropies [J]. Pattern Recognition, 1992, 25(8): 803-808.
[6] 龚劬, 王菲菲, 倪麟. 基于分解的二维 Renyi 灰度熵的图像阈值分割[J]. 计算机工程与应用, 2013, 49(1): 181-185.
GONG Qu, WANG Fei fei, NI Lin. Decomposition based two dimensional thresholding for image using Renyi gray entropy [J]. Computer Engineering and Applications, 2013, 49(1): 181-185.
[7] SAHOO P K, ARORA G. Image thresholding using two dimensional Tsallis Havrda Charvát entropy [J]. Pattern Recognition Letters, 2006, 27(6): 520-528.
[8] WANG S, CHUNG F L. Note on the equivalence relationship between Renyientropy based and Tsallis entropy based image thresholding [J]. Pattern Recognition Letters, 2005, 26(14): 2309-2312.
[9] 卓问, 曹治国, 肖阳. 基于二维Arimoto 熵的阈值分割方法[J]. 模式识别与人工智能, 2009, 22(2): 208-213.
ZHUO Wen, CAO Zhiguo, XIAO Yang. Image thresholding based on twodimensional Arimoto entropy [J]. Pattern Recognition and Artificial Intelligence, 2009, 22(2): 208-213.
[10] 张弘, 范九伦. 二维 Arimoto 熵直线型阈值分割法[J]. 光子学报, 2013, 42(2): 234-240.
ZHANG Hong, FAN Jiu lun. Two dimensional Arimoto entropy linear type threshold segmentation method [J]. Acta Photonica Sinica, 2013, 42(2): 234-240.
[11] 唐英干, 邸秋艳, 赵立兴, 等. 基于二维最小 Tsallis 交叉熵的图像阈值分割方法[J]. 物理学报, 2009,58: 9-15.
TANG Ying gan, DI Qiuyan, ZHAO Lixing, et al. Image thresholding segmentation based on two dimensional minimum Tsallis cross entropy [J]. Acta Physica Sinica, 2009,58: 9-15.
[12] 吴一全, 吴诗婳, 占必超, 等. 基于改进的二维交叉熵及 Tent 映射 PSO 的阈值分割[J]. 系统工程与电子技术, 2012, 34(3): 603-609.
WU Yi quan, WU Shi hua, ZHAN Bi chao, et al. Thresholding based on improved two dimensional cross entropy and Tent map PSO [J]. Systems Engineering and Electronics, 2012, 34(3): 603-609.
[13] 梁建慧, 马苗. 人工蜂群算法在图像分割中的应用研究[J]. 计算机工程与应用, 2012, 48(8): 194-196.
LIANG Jian hui, MA Miao. Artificial bee colony algorithm based research on image segmentation [J]. Computer Engineering and Applications, 2012, 48(8): 194-196.
[14] KARABOGA D, AKAY B. A comparative study of artificial bee colony algorithm [J]. Applied Mathematics and Computation, 2009, 214(1): 108-132.
[15] GAO W, LIU S. A modified artificial bee colony algorithm [J]. Computers and Operations Research, 2012, 39(3): 687-697.
[16] ZHANG H. One dimensional Arimoto entropy threshold segmentation method based on parameters optimization [J].Communications in Computer and Information Science, 2011,4:573-581.
[17] 吴一全, 纪守新. 灰度熵和混沌粒子群的图像多阈值选取[J]. 智能系统学报, 2010, 5(6): 522-529.
WU Yiquan, Ji Shou xin. Multithreshold selection for an image based on gray entropy and chaotic particle swarm optimization [J]. CAAI Transactions on Intelligent Systems, 2010, 5(6): 522-529.
[18] 罗钧, 李研. 具有混沌搜索策略的蜂群优化算法[J]. 控制与决策, 2010, 25(12): 1913-1916.
LUO Jun , LI Yan. Artificial bee colony algorithm with chaoticsearch strategy [J]. Control and Decision, 2010, 25(12): 1913-1916. |
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