第2期 贾鹤鸣，等：改进萤火虫优化算法的Renyi嫡污油图像分割 ·373· logy[J].Intelligent building and city,2017(9):50-53. [12]刘洪彬，常发亮.权重系数自适应光流法运动目标检 [3]陈雨，蒋连江.石油管线智能巡检系统应用与研究)石 测).光学精密工程，2016,24(2：460-468 油石化管线与技术，2009,33)120-123. LIU Hongbin,CHANG Faliang.Moving object detection [4]马英辉，吴一全.利用混沌布谷鸟优化的二维Renyi灰 by optical flow method based on adaptive weight coeffi- 度熵图像阈值选取[J].智能系统学报，2018,13(1)： cient[J].Optics and precision engineering,2016,24(2): 152-158. 460-468. MA Yinghui,WU Yiquan.Two-dimensional Renyi-gray- [13]HORNG M H.Vector quantization using the firefly al- entropy image threshold selection based on chaotic cuckoo gorithm for image compression[J].Expert systems with search optimization[J].CAAL transactions on intelligent applications,2012,39(1):1078-1091. systems,.2018,131):152-158. [14]马英辉，吴一全.基于改进的指数交叉嫡和萤火虫群优 [5]陈超，宣士斌，雷红轩.基于狼群算法与二维最大嫡的图 化的工业CT图像分割U1.图学学报，2017,38(1)： 像分割U.计算机工程，2018,44(1233-237. 57-62. CHEN Chao,XUAN Shibin,LEI Hongxuan.Image seg- MA Yinghui,WU Yiquan.Segmentation of industrial CT mentation based on wolf pack algorithm and 2D maximum image based on improved exponential cross entropy and entropy[J.Computer engineering,2018,44(1):233-237. glow-worm swarm optimization[J].Journal of graphics, [6]YANG Xinshe.Nature-inspired metaheuristic 2017,38(1:57-62 algorithms[M].Frome,UK:Luniver Press,2008:180-186. [15]周晨航，田力威，赵宏伟.基于改进萤火虫算法的二维 [7]刘佳昆，周永权.一种最大最小萤光素值人工萤火虫算 Otsu图像分割法[.沈阳大学学报（自然科学版）， 法[U.计算机应用研究，2011,28(10少：3662-3664 2016,28(1:45-50 LIU Jiakun,ZHOU Yongquan.Glowworm swarm optimiz- ZHOU Chenhang,TIAN Liwei,ZHAO Hongwei.Image ation algorithm based on max-min luciferin[J].Applica- thresholding segmentation with 2-D Otsu based on im- tion research of computers,2011,28(10):3662-3664. proved firefly algorithm[J].Journal of Shenyang Uni- [8]DOS SANTOS COELHO L,DE ANDRADE BERNERT versity (Natural Science),2016,28(1):45-50. D L,MARIANI V C.A chaotic firefly algorithm applied to 作者简介： reliability-redundancy optimization[C]//Proceedings of 贾鹤鸣，副教授，博士，主要研究 2011 IEEE Congress of Evolutionary Computation.New 方向为图像处理与信息检测技术。 Orleans,LA,USA,2011:517-521. [9]冯艳红，刘建芹，贺毅朝.基于混沌理论的动态种群萤火 虫算法U.计算机应用，2013,33(3)：796-799,805. FENG Yanhong,LIU Jiangin,HE Yichao.Chaos-based dynamic population firefly algorithm[J].Journal of com- puter applications,2013,33(3):796-799,805. 彭晓旭.硕士研究生，主要研究方 [10]KULKARNI R V.VENAYAGAMOORTHY G K.Bio- 向为智能控制与信息处理技术。 inspired algorithms for autonomous deployment and loc- alization of sensor nodesJ].IEEE transactions on sys- tems,man,and cybernetics,part C(applications and re- views),2010,40(6):663-675 [11]刘毅，黄兵，孙怀江，等.利用视觉显著性与图割的图像 分割算法[.计算机辅助设计与图形学学报，2013， 邢致恺.硕士研究生，主要研究方 25(3402-409. 向为智能控制与信息处理技术。 LIU Yi,HUANG Bing,SUN Huaijiang,et al.Image seg- mentation based on visual saliency and graph cuts[J]. Journal of computer-aided design&computer graphics, 2013,25(3402-409logy[J]. Intelligent building and city, 2017(9): 50–53. 陈雨, 蒋连江. 石油管线智能巡检系统应用与研究 [J]. 石 油石化管线与技术, 2009, 3(3): 120–123. [3] 马英辉, 吴一全. 利用混沌布谷鸟优化的二维 Renyi 灰 度熵图像阈值选取 [J]. 智能系统学报, 2018, 13(1): 152–158. MA Yinghui, WU Yiquan. Two-dimensional Renyi-gray￾entropy image threshold selection based on chaotic cuckoo search optimization[J]. CAAL transactions on intelligent systems, 2018, 13(1): 152–158. [4] 陈超, 宣士斌, 雷红轩. 基于狼群算法与二维最大熵的图 像分割 [J]. 计算机工程, 2018, 44(1): 233–237. CHEN Chao, XUAN Shibin, LEI Hongxuan. Image seg￾mentation based on wolf pack algorithm and 2D maximum entropy[J]. Computer engineering, 2018, 44(1): 233–237. [5] YANG Xinshe. Nature-inspired metaheuristic algorithms[M]. Frome, UK: Luniver Press, 2008: 180-186. [6] 刘佳昆, 周永权. 一种最大最小萤光素值人工萤火虫算 法 [J]. 计算机应用研究, 2011, 28(10): 3662–3664. LIU Jiakun, ZHOU Yongquan. Glowworm swarm optimiz￾ation algorithm based on max-min luciferin[J]. Applica￾tion research of computers, 2011, 28(10): 3662–3664. [7] DOS SANTOS COELHO L, DE ANDRADE BERNERT D L, MARIANI V C. A chaotic firefly algorithm applied to reliability-redundancy optimization[C]//Proceedings of 2011 IEEE Congress of Evolutionary Computation. New Orleans, LA, USA, 2011: 517–521. [8] 冯艳红, 刘建芹, 贺毅朝. 基于混沌理论的动态种群萤火 虫算法 [J]. 计算机应用, 2013, 33(3): 796–799, 805. FENG Yanhong, LIU Jianqin, HE Yichao. Chaos-based dynamic population firefly algorithm[J]. Journal of com￾puter applications, 2013, 33(3): 796–799, 805. [9] KULKARNI R V, VENAYAGAMOORTHY G K. Bio￾inspired algorithms for autonomous deployment and loc￾alization of sensor nodes[J]. IEEE transactions on sys￾tems, man, and cybernetics, part C (applications and re￾views), 2010, 40(6): 663–675. [10] 刘毅, 黄兵, 孙怀江, 等. 利用视觉显著性与图割的图像 分割算法 [J]. 计算机辅助设计与图形学学报, 2013, 25(3): 402–409. LIU Yi, HUANG Bing, SUN Huaijiang, et al. Image seg￾mentation based on visual saliency and graph cuts[J]. Journal of computer-aided design & computer graphics, 2013, 25(3): 402–409. [11] 刘洪彬, 常发亮. 权重系数自适应光流法运动目标检 测 [J]. 光学精密工程, 2016, 24(2): 460–468. LIU Hongbin, CHANG Faliang. Moving object detection by optical flow method based on adaptive weight coeffi￾cient[J]. Optics and precision engineering, 2016, 24(2): 460–468. [12] HORNG M H. Vector quantization using the firefly al￾gorithm for image compression[J]. Expert systems with applications, 2012, 39(1): 1078–1091. [13] 马英辉, 吴一全. 基于改进的指数交叉熵和萤火虫群优 化的工业 CT 图像分割 [J]. 图学学报, 2017, 38(1): 57–62. MA Yinghui, WU Yiquan. Segmentation of industrial CT image based on improved exponential cross entropy and glow-worm swarm optimization[J]. Journal of graphics, 2017, 38(1): 57–62. [14] 周晨航, 田力威, 赵宏伟. 基于改进萤火虫算法的二维 Otsu 图像分割法 [J]. 沈阳大学学报 (自然科学版), 2016, 28(1): 45–50. ZHOU Chenhang, TIAN Liwei, ZHAO Hongwei. Image thresholding segmentation with 2-D Otsu based on im￾proved firefly algorithm[J]. Journal of Shenyang Uni￾versity (Natural Science), 2016, 28(1): 45–50. [15] 作者简介： 贾鹤鸣，副教授，博士，主要研究 方向为图像处理与信息检测技术。 彭晓旭，硕士研究生，主要研究方 向为智能控制与信息处理技术。 邢致恺，硕士研究生，主要研究方 向为智能控制与信息处理技术。 第 2 期 贾鹤鸣，等：改进萤火虫优化算法的 Renyi 熵污油图像分割 ·373·