The Application of the Image Edge Detection in Analysis of Composite Insulators Hydrophobicity

被引:2
|
作者
Li, Yanqing [1 ]
Jia, Zihang [1 ]
机构
[1] North China Elect Power Univ, Hebei Prov Key Lab Power Transmiss Equipment Secu, Baoding, Peoples R China
来源
MECHATRONICS, ROBOTICS AND AUTOMATION, PTS 1-3 | 2013年 / 373-375卷
关键词
edge detection; composite insulators; Canny algorithm; Ostu threshold method;
D O I
10.4028/www.scientific.net/AMM.373-375.517
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Image edge detection technology which is applied to the hydrophobic grade discrimination of composite insulator is of great significance. How to accurately detect the edge of the water droplets is very important in the process of automatic identification of composite insulator hydrophobicity. This paper detects composite insulator hydrophobic image edge with image edge detection technology. Firstly, adaptive histogram equalization technique is used to enhance image, reducing the similarity of target and background which is caused by the transparency of water. Then the paper uses the improved Canny algorithm which is introduced Ostu threshold method to detect the image edge. The experimental results show that the improved algorithm can accurately acquire the water droplets edge of composite insulator surface, which can lay a foundation for automatic discrimination of composite insulator hydrophobic grade.
引用
收藏
页码:517 / 520
页数:4
相关论文
共 50 条
  • [21] IMAGE ANALYSIS BASED ON EDGE DETECTION TECHNIQUES
    纳瑟
    刘重庆
    Journal of Shanghai Jiaotong University, 2002, (02) : 198 - 203
  • [22] Image analysis based on image segmentation and edge detection techniques
    Salman, NH
    Liu, CQ
    CHINESE JOURNAL OF ELECTRONICS, 2002, 11 (04): : 528 - 532
  • [23] Uneven change characteristic of composite insulators hydrophobicity in long-time service
    Beijing Area Major Laboratory of High Voltage and Electromagnetic Compatibility, North China Electric Power University, Beijing 102206, China
    不详
    Tu, Y. (typ@ncepu.edu.cn), 2013, Science Press (39): : 1469 - 1475
  • [24] An Edge Detection Algorithm for Online Image Analysis
    Sleit, Azzam
    Abu Dalhoum, Abdel Latif
    Al-Dhamari, Ibraheem
    Tareef, Afaf
    PROCEEDINGS OF THE AMERICAN CONFERENCE ON APPLIED MATHEMATICS: RECENT ADVANCES IN APPLIED MATHEMATICS, 2009, : 250 - +
  • [25] Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm
    Pei, Shaotong
    Wang, Weiqi
    Wu, Peng
    Hu, Chenlong
    Sun, Haichao
    Li, Keyu
    Wu, Mianxiao
    Lan, Bo
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [26] Performance Analysis of Composite Insulators
    Wang, Tingting
    Zhang, Fuzeng
    Zeng, Xiangjun
    Liao, Yifan
    Yin, Jing
    Zhang, Sida
    PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 320 - 325
  • [27] An Application of Artificial Bee Colony Optimization to Image Edge Detection
    Liu, Yi
    Tang, Shengqing
    2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 923 - 929
  • [28] Improved HIS Model with Application to Edge Detection for Color Image
    Zhang, Linhua
    Mao, Xiuli
    Zhou, Chuanbin
    Yu, Ping
    JOURNAL OF COMPUTERS, 2012, 7 (06) : 1400 - 1404
  • [29] Theory of Cellular Automata and Its Application in Image Edge Detection
    Peng, Wang
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 977 - 979
  • [30] Application of Linear Model Fitting in Image Edge Fast Detection
    Wang, Peng
    Wang, Yueming
    PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,