基于随机Hough变换的线路覆冰厚度图像识别技术

doi:10.11930/j.issn.1004-9649.201812055

中国电力 ›› 2019, Vol. 52 ›› Issue (12): 39-45,53.DOI: 10.11930/j.issn.1004-9649.201812055

基于随机Hough变换的线路覆冰厚度图像识别技术

贾思棋¹, 李军辉^1,2, 杜冬梅¹, 刘彬², 何青¹

1. 华北电力大学能源动力与机械工程学院, 北京 102206;
2. 中国电力科学研究院输变电工程研究所, 北京 100055

收稿日期:2018-12-17 修回日期:2019-01-31 发布日期:2019-12-05
通讯作者: 何青(1962-),男,通信作者,教授,从事设备状态监测与故障诊断、振动工程理论与测试技术研究,E-mail:hqng@163.com
作者简介:贾思棋(1994-),女,硕士研究生,从事输电线覆冰图像识别研究,E-mail:519158212@qq.com;李军辉(1981-),男,博士研究生,从事输电线路力学和输电线微风振动研究,E-mail:ljh@epri.sgcc.com.cn;杜冬梅(1964-),女,教授,从事动力机械优化与设计研究,E-mail:ddongm@ncepu.edu.cn;刘彬(1978-),男,高级工程师(教授级),从事输电线微风振动、输电线舞动研究,E-mail:Liubinliubin@yeah.net
基金资助:
国家自然科学基金资助项目（51678548）。

Image Recognition of Icing Thickness of Transmission Line Based on Random Hough Transform

JIA Siqi¹, LI Jun Hui^1,2, DU Dongmei¹, LIU Bin², HE Qing¹

1. School of Energy Power and Mechanical Energy, North China Electric Power University, Beijing 102206, China;
2. Power Transmission Project Institute, China Electric Power Research Institute, Beijing 100055, China

Received:2018-12-17 Revised:2019-01-31 Published:2019-12-05
Supported by:
This work is supported by the National Natural Science Foundation of China (No.51678548).

摘要/Abstract

摘要： 为了提高输电导线覆冰厚度的计算精度，提出了一种基于随机Hough变换计算输电导线覆冰厚度的方法。首先对导线的图像进行灰度处理，去除色调和色彩饱和度；然后利用Canny算子检测，对图像进行去噪和去除图像背景处理，只保留图像前景；再利用随机Hough变换和最小二乘法确定导线边缘直线；最后根据覆冰前后导线图像的像素来计算覆冰厚度。计算结果表明，该方法的计算精度比基于传统Hough变换的计算精度提升了14%，可以显著地提高输电线路覆冰厚度的监测精度和水平。

关键词: 输电导线, 覆冰厚度, 随机Hough变换, 图像识别

Abstract: In order to improve the calculation accuracy of the thickness of the transmission line, the method of calculating the thickness of the transmission line based on random Hough transform is proposed. Firstly, the image of the line is grayscaled to remove the hue and color saturation; then the Canny operator is used to denoise the image and remove the image background, preserving only the foreground of the image; then using random Hough transform and least squares method to determine the straight line at the edge of the line; finally, the thickness of the ice is calculated based on the pixels of the line image before and after the icing. The calculation results show that the calculation accuracy of this method is 14% higher than that based on traditional Hough transform, which can significantly improve the monitoring accuracy and level of ice thickness of transmission lines.

Key words: transmission line, icing thickness, random Hough transform, image recognition

中图分类号:

TM751

贾思棋, 李军辉, 杜冬梅, 刘彬, 何青. 基于随机Hough变换的线路覆冰厚度图像识别技术[J]. 中国电力, 2019, 52(12): 39-45,53.

JIA Siqi, LI Jun Hui, DU Dongmei, LIU Bin, HE Qing. Image Recognition of Icing Thickness of Transmission Line Based on Random Hough Transform[J]. Electric Power, 2019, 52(12): 39-45,53.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201812055

https://www.electricpower.com.cn/CN/Y2019/V52/I12/39

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基于随机Hough变换的线路覆冰厚度图像识别技术

Image Recognition of Icing Thickness of Transmission Line Based on Random Hough Transform

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基于随机Hough变换的线路覆冰厚度图像识别技术

Image Recognition of Icing Thickness of Transmission Line Based on Random Hough Transform

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