Location Method of Insulators in Power Grid Patrol Aerial Images

doi:10.16182/j.issn1004731x.joss.201706023

Abstract

Abstract: A method to locate the insulators in the power grid patrol aerial images was proposed. OTSU algorithm improved by genetic algorithm was applied to segment insulators from backgrounds. The segmented images were filtered and reconstructed based on morphology algorithm. SketchUp software was used to build insulator samples, namely positive samples. The moment invariants of these samples and negative samples(background) were calculated respectively to train a classifier based on AdaBoost algorithm. By using the trained classifier, segmented insulators were classified and located coarsely. The Order Cut method (OC) was used to cut the original minimum circumscribed rectangle consisting of all rectangles which located the same insulator, and the insulators could be located exactly and completely. The testing results show that this methodology can locate different types and length of insulators from aerial images effectively , accurately and completely.

Key words: aerial images, insulators location, threshold segmentation, moment invariants, Order Cut method

CLC Number:

TN911.73

Cheng Haiyan, Han Pu, Wang Di, Zhai Yongjie. Location Method of Insulators in Power Grid Patrol Aerial Images[J]. Journal of System Simulation, 2017, 29(6): 1327-1336.

References

[1] 李卫国, 叶高生, 黄锋, 等. 基于改进MPEG-7 纹理特征的绝缘子图像识别[J]. 高压电器, 2010, 46(10): 65-68.
(Li Weiguo, Ye Gaosheng, Huang Feng, et al.Recognition of Insulator Based on Developed MPEG-7 Texture Feature[J]. High Voltage Apparatus, 2010, 46(10): 65-68.)
[2] 仝卫国, 苑津莎, 李宝树. 图像处理技术在直升机巡检输电线路中的应用综述[J]. 电网技术, 2010, 34(12): 204-208.
(Tong Weiguo, Yuan Jinsha, Li Baoshu.Application of Image Processing in Patrol Inspection of Overhead Transmission Line by Helicopter[J]. Power System Technology, 2010, 34(12): 204-208.)
[3] 黄霄宁, 张真良. 直升机巡检航拍图像中绝缘子图像的提取算法[J]. 电网技术, 2010, 34(1): 194-197.
(Huang Xiaoning, Zhang Zhenliang.A Method to Extract Insulator Image From Aerial Image of Helicopter Patrol[J]. Power System Technology, 2010, 34(1): 194-197.)
[4] 马帅营, 安居白, 陈舫明. 基于区域定位的绝缘子图像分割[J]. 电力建设, 2010, 31(7): 14-17.
(Ma Shuaiying, An Jubai, Chen Fangming.Segmentation of the Insulator Images Based on Region Location[J]. Electric Power Construction, 2010, 31(7): 14-17.)
[5] L Khalayli, H A Sagban, H Shoman, et al.Automatic inspection of outdoor insulators using image processing and intelligent techniques[C]// IEEE Electrical Insulation Conference. USA: IEEE, 2013: 206-209.
[6] 谭磊, 王耀南, 沈春生. 输电线路除冰机器人障碍视觉检测识别算法[J]. 仪器仪表学报, 2011, 32(11): 2564-2571.
(Tan Lei, Wang Yaonan, Shen Chunsheng.Vision based obstacle detection and recognition algorithm for transmission line deicing robot[J]. Chinese Journal of Scientific Instrument, 2011, 32(11): 2564-2571.)
[7] 赵振兵, 金思新, 刘亚春. 基于NSCT 的航拍绝缘子图像边缘提取方法[J]. 仪器仪表学报, 2012, 33(9): 2045-2052.
(Zhao Zhenbing, Jin Sixin, Liu Yachun.Aerial insulator image edge extraction method based on NSCT[J]. Chinese Journal of Scientific Instrument, 2012, 33(9): 2045-2052.)
[8] 姚春羽, 金立军, 闫书佳. 电网巡检图像中绝缘子的识别[J]. 系统仿真学报, 2012, 24(9): 1818-1822.
(Yao Chunyu, Jin Lijun, Yan Shujia.Recognition of Insulator String in Power Grid Patrol Images[J]. Journal of System Simulation (S1004-731X), 2012, 24(9): 1818-1822.)
[9] 赵振兵, 王乐. 一种航拍绝缘子串图像自动定位方法[J]. 仪器仪表学报, 2014, 35(3): 558-565.
(Zhao Zhenbing, Wang Le.Aerial insulator string image automatic location method[J]. Chinese Journal of Scientific Instrument, 2014, 35(3): 558-565.)
[10] 杨翠茹. 基于纹理特征的绝缘子检测方法[J]. 电气技术, 2010, 11(7): 46-48.
(Yang Cuiru.A Detection Method for Insulators Based on Texture Features[J]. Electrical Engineering, 2010, 11(7): 46-48.)
[11] 李佐胜, 李文利, 姚建刚, 等. 应用绝缘子红外热像处理的现场污秽等级检测方法[J]. 中国电机工程学报, 2010, 30(4): 132-138.
(Li Zuosheng, Li Wenli, Yao Jiangang, et al.On-site Detection of Pollution Level of Insulators Based on Infrared-thermal-image Processing[J]. Proceedings of the CSEE, 2010, 30(4): 132-138.)
[12] 李和明, 王胜辉, 律方成, 等. 基于紫外成像的污秽绝缘子放电特性研究[J]. 华北电力大学学报, 2010, 37(3): 1-6.
(Li Heming, Wang Shenghui, Lu Fangcheng, et al.Study on insulator contaminant discharge characteristics based on ultraviolet imaging[J]. Journal of North China Electric Power University, 2010, 37(3): 1-6.)
[13] 翟永杰, 王迪, 伍洋, 等. 基于骨架提取的航拍绝缘子图像分步识别方法[J]. 华北电力大学学报, 2015, 42(3): 105-110.
(Zhai Yongjie, Wang Di, Wu Yang, et al.Two-stage Recognition Method of Aerial Insulator Images Based on Skeleton Extraction[J]. Journal of North China Electric Power University, 2015, 42(3): 105-110.)
[14] T Ma, B Abdulhai.Genetic algorithm based combinatorial parametric optimization for the calibration of microscopic traffic simulation models[C]// Intelligent Transportation Systems. USA: IEEE, 2001: 848-853.
[15] 郎咸朋, 朱枫, 郝颖明, 等. 基于积分图像的快速二维Otsu 算法[J]. 仪器仪表学报, 2009, 30(1): 39-43.
(Lang Xianpeng, Zhu Feng, Hao Yingming, et al.Fast two-dimensional Otsu algorithm based on integral image[J]. Chinese Journal of Scientific Instrument, 2009, 30(1): 39-43.)
[16] M K Hu.Visual pattern recognition by moment invariants[J]. IRE Transactions on Information Theory (S0018-9448), 1962, 8(2): 179-187.
[17] Y Freund, R E Schapire.A decision-theoretic generalization of on-line learning and an application to Boosting[J]. Journal of Computer and System Sciences (S0022-0000), 1997, 55(1): 119-139.
[18] P Viola, M Jones.Robust real-time face detection[J]. International Journal of Computer Vision (S0920-5691), 2004, 57(2): 137-154.
[19] 文学志, 方巍, 郑钰辉. 一种基于类Harr特征和改进AdaBoost分类器的车辆识别算法[J]. 电子学报, 2011, 39(5): 1122-1126.
(Wen Xuezhi, Fang Wei, Zheng Yuhui.An Algorithm Based on Haar-Like Features and Improved AdaBoost Classifier for Vehicle Recognition[J]. ACTA ELECTRONICA SINICA, 2011, 39(5): 1122-1126.)
[20] 闫瑞, 曹先彬, 李凯. 面向短文本的动态组合分类算法[J]. 电子学报, 2009, 37(5): 1019-1024.
(Yan Rui, Cao Xianbin, Li Kai.Dynamic Assembly Classification Algorithm for Short Text[J]. ACTA ELECTRONICA SINICA, 2009, 37(5): 1019-1024.)
[21] 胡正平, 高亚男. 形变冗余的改进GHT目标双层定位方法研究[J]. 中国图象图形学报, 2011, 16(1): 50-58.
(Hu Zhengpeng, Gao Ya'nan.Two-level deformed target locate algorithm based on the variant of generalized Hough transform[J]. Journal of Image and Graphics, 2011, 16(1): 50-58.)
[22] C G Windsor, L Capineri, P Falorni.A data pair-labeled generalized Hough transform for radar location of buried objects[J]. IEEE Geoscience and Remote Sensing Letters (S1545-598X), 2014, 11(1): 124-127.