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14 November 2017 Automatic identification and location technology of glass insulator self-shattering
Xinbo Huang, Huiying Zhang, Ye Zhang
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Journal of Electronic Imaging, Vol. 26, Issue 6, 063014 (November 2017). https://doi.org/10.1117/1.JEI.26.6.063014
Abstract
The insulator of transmission lines is one of the most important infrastructures, which is vital to ensure the safe operation of transmission lines under complex and harsh operating conditions. The glass insulator often self-shatters but the available identification methods are inefficient and unreliable. Then, an automatic identification and localization technology of self-shattered glass insulators is proposed, which consists of the cameras installed on the tower video monitoring devices or the unmanned aerial vehicles, the 4G/OPGW network, and the monitoring center, where the identification and localization algorithm is embedded into the expert software. First, the images of insulators are captured by cameras, which are processed to identify the region of insulator string by the presented identification algorithm of insulator string. Second, according to the characteristics of the insulator string image, a mathematical model of the insulator string is established to estimate the direction and the length of the sliding blocks. Third, local binary pattern histograms of the template and the sliding block are extracted, by which the self-shattered insulator can be recognized and located. Finally, a series of experiments is fulfilled to verify the effectiveness of the algorithm. For single insulator images, Ac, Pr, and Rc of the algorithm are 94.5%, 92.38%, and 96.78%, respectively. For double insulator images, Ac, Pr, and Rc are 90.00%, 86.36%, and 93.23%, respectively.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Xinbo Huang, Huiying Zhang, and Ye Zhang "Automatic identification and location technology of glass insulator self-shattering," Journal of Electronic Imaging 26(6), 063014 (14 November 2017). https://doi.org/10.1117/1.JEI.26.6.063014
Received: 29 June 2017; Accepted: 19 October 2017; Published: 14 November 2017
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Cited by 16 scholarly publications.
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KEYWORDS
Image segmentation
Glasses
Detection and tracking algorithms
Feature extraction
Image processing
Cameras
Actinium
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