[1]贾鹤鸣,彭晓旭,邢致恺,等.改进萤火虫优化算法的Renyi熵污油图像分割[J].智能系统学报,2020,15(2):367-373.[doi:10.11992/tis.201809002]
 JIA Heming,PENG Xiaoxu,XING Zhikai,et al.Renyi entropy based on improved firefly optimization algorithm for image segmentation of waste oil[J].CAAI Transactions on Intelligent Systems,2020,15(2):367-373.[doi:10.11992/tis.201809002]
点击复制

改进萤火虫优化算法的Renyi熵污油图像分割

参考文献/References:
[1] 王翔宇, 王跃, 鲍蕊, 等. 基于巡检方案事件检出概率的长距管线无人机总体设计[J]. 航空学报, 2016, 37(1): 193-206
WANG Xiangyu, WANG Yue, BAO Rui, et al. Conceptual design for long-distance pipeline patrolling UVA based on detection probability of patrolling scheme[J]. Acta aeronautica et astronautica sinica, 2016, 37(1): 193-206
[2] 张彪, 杜景涛, 许海银. 基于物联网技术的数字油田三维管线智能巡检系统[J]. 智慧建筑与城市, 2017(9): 50-53
ZHANG Biao, DU Jingtao, XU Haiyin. Intelligent patrol inspection system of digital oilfield based on IOT technology[J]. Intelligent building and city, 2017(9): 50-53
[3] 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
[4] 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
[5] 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 segmentation based on wolf pack algorithm and 2D maximum entropy[J]. Computer engineering, 2018, 44(1): 233-237
[6] YANG Xinshe. Nature-inspired metaheuristic algorithms[M]. Frome, UK: Luniver Press, 2008: 180-186.
[7] 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 optimization algorithm based on max-min luciferin[J]. Application research of computers, 2011, 28(10): 3662-3664
[8] 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.
[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[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 computer applications, 2013, 33(3): 796-799, 805
[10] KULKARNI R V, VENAYAGAMOORTHY G K. Bio-inspired algorithms for autonomous deployment and localization of sensor nodes[J]. IEEE transactions on systems, man, and cybernetics, part C (applications and reviews), 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[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 segmentation based on visual saliency and graph cuts[J]. Journal of computer-aided design & computer graphics, 2013, 25(3): 402-409
[12] 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 coefficient[J]. Optics and precision engineering, 2016, 24(2): 460-468
[13] HORNG M H. Vector quantization using the firefly algorithm for image compression[J]. Expert systems with applications, 2012, 39(1): 1078-1091.
[14] 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
[15] 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 improved firefly algorithm[J]. Journal of Shenyang University (Natural Science), 2016, 28(1): 45-50
相似文献/References:
[1]丁爱玲,杨康,齐怀超,等.单边侧阴影特征的车辆阴影去除[J].智能系统学报,2015,10(2):281.[doi:10.3969/j.issn.1673-4785.201310020]
 DING Ailing,YANG Kang,QI Huaichao,et al.Vehicle shadow removal based on the characteristics of the single side shadow[J].CAAI Transactions on Intelligent Systems,2015,10():281.[doi:10.3969/j.issn.1673-4785.201310020]
[2]杨达,狄岚,赵树志,等.基于结构相似性与模板校正的织物瑕疵检测方法[J].智能系统学报,2020,15(3):475.[doi:10.11992/tis.201810011]
 YANG Da,DI Lan,ZHAO Shuzhi,et al.Fabric defect detection based on structural similarity and template correction[J].CAAI Transactions on Intelligent Systems,2020,15():475.[doi:10.11992/tis.201810011]

备注/Memo

收稿日期:2018-09-01。
基金项目:中央高校基本科研业务费专项资金项目(2572019BF04);国家自然科学基金项目(31470714,51609048);黑龙江省研究生教育创新工程项目(JGXM_HLJ_2016014)
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。
通讯作者:贾鹤鸣.E-mail:jiaheminglucky99@126.com

更新日期/Last Update: 1900-01-01
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134