高压输电线路航拍图像目标边缘检测

doi:10.11930/j.issn.1004-9649.201605007

中国电力 ›› 2018, Vol. 51 ›› Issue (2): 27-32.DOI: 10.11930/j.issn.1004-9649.201605007

高压输电线路航拍图像目标边缘检测

赵江曼, 孟建良

华北电力大学控制与计算机工程学院, 河北保定 071003

收稿日期:2016-05-27 修回日期:2017-09-05 出版日期:2018-02-05 发布日期:2018-02-11
作者简介:赵江曼(1989—),女,河北保定人,硕士研究生,从事电力信息化、图像处理及应用研究,E-mail:zjmvipmail@126.com;孟建良(1956-),男,河北保定人,教授,从事数据库与管理信息系统、人工智能及应用的研究,E-mail:mjl1954@126.com。

Target Edge Detection of Aerial Photography for High-Voltage Transmission Lines

ZHAO Jiangman, MENG Jianliang

School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China

Received:2016-05-27 Revised:2017-09-05 Online:2018-02-05 Published:2018-02-11

摘要/Abstract

摘要： 对高压输电线路不同环境下的图像特征进行分析，提出了基于LoG算子与形态学融合的方法。通过灰度图像直方图表明该方法能够较好地呈现二峰性，更好地寻找最佳阈值分割点。该方法较以往提出的改进最大类间方差（Otsu）图像分割算法能更好地对背景和目标物进行分离。Matlab仿真实验表明，在高压输电线路环境及受一定自然环境条件的影响下，该方法能够更好地检测图像中目标物的轮廓边缘。

关键词: LoG算子, 形态学, 边缘检测, 高压输电线路

Abstract: In this paper, image features are analyzed for high voltage transmission lines under various circumstances and then a method combining LoG operator and morphology is proposed. The gray image histogram shows that this method can not only present two peaks well, but also exhibit better performance finding the optimal threshold segmentation points. Compared with the improved Otsu (maximal variance between clusters) image segmentation algorithm, this method makes it easier to separate the target from the background. Matlab simulation results show that the proposed method can successfully detect the contour edge of the target in the image regardless of environment impact of high voltage transmission lines. It is still effective even under the influence of certain severe natural environment conditions.

Key words: LoG operator, morphology, edge detection, high voltage transmission lines

中图分类号:

TM75
TP399

赵江曼, 孟建良. 高压输电线路航拍图像目标边缘检测[J]. 中国电力, 2018, 51(2): 27-32.

ZHAO Jiangman, MENG Jianliang. Target Edge Detection of Aerial Photography for High-Voltage Transmission Lines[J]. Electric Power, 2018, 51(2): 27-32.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201605007

https://www.electricpower.com.cn/CN/Y2018/V51/I2/27

参考文献

[1] 张振华. 高压电力线路在线视频监控系统工程应用及实践[J]. 电力系统保护与控制, 2013, 41(16): 149-153.
ZHANG Zhenhua. Research and application of online video surveillance system for high-voltage power lines[J]. Power System Protection and Control, 2013, 41(16): 149-153.
[2] 赵建青, 姚瑶, 邱玩辉, 等. 基于输电线路在线巡视系统的智能预警系统研究[J]. 电力系统保护与控制, 2013, 41(23): 49-54.
ZHAO Jianqing, YAO Yao, QIU Wanhui, et al. Study on intelligent early warning system based on transmission line online inspection system [J]. Power System Protection and Control, 2013, 41(23): 49-54.
[3] 韦炜.常用图像边缘检测方法及Matlab研究[J]. 现代电子技术, 2011, 34(4): 91-94.
WEI Wei. Comparative study on some common edge detection methods based on Matlab [J]. Modern Electronics Technique, 2011, 34(4): 91-94.
[4] 李武. Matlab中图像边缘检测算法研究[J]. 北京测绘, 2014(3): 65-68, 146.
LI Wu. Image edge detection algorithms in Matlab [J]. Beijing Surveying and Mapping, 2014(3): 65-68, 146.
[5] 龙鹏, 鲁华祥. LoG边缘算子改进的加权引导滤波算法[J]. 计算机应用, 2015, 35(9): 2661-2665.
LONG Peng, LU Huaxiang. Weighted guided image filtering algorithm using Laplacian-of-Gaussian edge detector[J]. Journal of Computer Applications, 2015, 35(9): 2661-2665.
[6] 金立军, 姚春羽, 闫书佳, 等. 基于航拍图像的输电线路异物识别[J]. 同济大学学报(自然科学版), 2013, 41(2): 277-281.
JIN Lijun, YAO Chunyu, YAN Shujia, et al. Recognition of extra matters on transmission lines based on aerial images [J]. Journal of Tongji University(Natural Science), 2013, 41(2): 277-281.
[7] 李昭廷, 郝艳捧, 李立浧, 等. 利用远程系统的输电线路覆冰厚度图像识别[J]. 高电压技术, 2011, 37(9): 2288-2293.
LI Zhaoting, HAO Yanpeng, LI Licheng, et al. Image recognition of ice thickness on transmission lines using remote system [J]. High Voltage Engineering Science, 2011, 37(9): 2288-2293.
[8] 王民钢, 王超, 樊英平, 等. 基于LoG算子的小信息量图像匹配算法[J]. 计算机工程与应用, 2012, 48(29): 191-195.
WANG Mingang, WANG Chao, FAN Yingping, et al. Image registration algorithm with little information based on LoG edge detection[J]. Computer Engineering and AppHcations, 2012, 48(29): 191-195.
[9] 李学鹏, 全玉生, 黄徐, 等. 数学形态学用于高压直流输电线路行波保护的探讨[J]. 继电器, 2006, 34(5): 5-9.
LI Xuepeng, QUAN Yusheng, HUANG Xu, et al. Study of travelling wave protection of HVDC transmission line on mathematical morphology[J]. Power System Protection and Control, 2006, 34(5): 5-9.
[10] 陈仕龙, 曹蕊蕊, 毕贵红, 等. 基于形态学的特高压直流输电线路雷击干扰识别[J]. 中国电力, 2014, 47(10): 40-46.
CHEN Shilong, CAO Ruirui, BI Guihong, et al. Identification of UHVDC transmission line lightning disturbance based on morphology [J]. Electric Power, 2014, 47(10): 40-46.
[11] 朱晓临, 陈嫚, 李雪艳, 等. 结合形态学变形虫和复合颜色空间的彩色图像边缘检测模型[J]. 计算机辅助设计与图形学学报, 2014, 26(7): 1060-1066.
ZHU Xxiaolin, CHEN Man, LI Xueyan, et al. A color image edge detection model with morphological amoebas and two kinds of color spaces[J]. Journal of Computer-Aided Design and Computer Graphics, 2014, 26(7): 1060-1066.
[12] 罗朝祥, 万华舰, 罗文博, 等. 输电线路导线覆冰图像处理与识别技术[J]. 中国电力, 2014, 47(9): 132-136.
LUO Chaoxiang, WAN Huajian, LUO Wenbo, et al. Image processing and recognition technology for transmission line icing[J]. Electric Power, 2014, 47(9): 132-136.

高压输电线路航拍图像目标边缘检测

Target Edge Detection of Aerial Photography for High-Voltage Transmission Lines

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics

[1]	章枫, 樊恒建, 邓晖, 房乐, 周子青, 李知艺. 基于数学形态学的电力系统灵活调节能力充裕度分析[J]. 中国电力, 2025, 58(3): 43-54.
[2]	张峰, 郭锐, 卢士彬, 李振宇, 杨波, 孙晓斌. 高压输电线路巡检机器人障碍物识别与定位[J]. 中国电力, 2019, 52(4): 111-118.
[3]	马御棠, 马仪, 曹晓斌, 黄然, 陈奎, 周仿荣. 融冰绝缘地线对变电站雷电过电压的影响[J]. 中国电力, 2018, 51(6): 96-101.
[4]	赵淳, 宋暾昉, 彭波, 吴大伟, 陶汉涛, 邓永清. 特高压输电线路污闪和风偏风险实时评估与预警[J]. 中国电力, 2018, 51(4): 15-21,66.
[5]	盛四清, 王佳琦. 基于改进QPSO形态滤波器的电能质量暂态扰动检测[J]. 中国电力, 2017, 50(6): 95-100.
[6]	唐波，孙睿，赵晓明，江浩田，刘任. 甚高频段特高压输电线路无源干扰求解[J]. 中国电力, 2016, 49(10): 90-93.
[7]	罗朝祥, 万华舰, 罗文博, 姜岚. 输电线路导线覆冰图像处理与识别技术[J]. 中国电力, 2014, 47(9): 132-136.
[8]	郑贵林, 张丽. 自旋翼飞机电力巡线技术研究与应用[J]. 中国电力, 2014, 47(7): 26-31.
[9]	陈仕龙, 曹蕊蕊, 毕贵红, 李兴旺, 荣俊香. 基于形态学的特高压直流输电线路雷击干扰识别[J]. 中国电力, 2014, 47(10): 40-46.

模态框（Modal）标题

高压输电线路航拍图像目标边缘检测

Target Edge Detection of Aerial Photography for High-Voltage Transmission Lines

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics