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

doi:10.11930/j.issn.1004-9649.201812055

Abstract

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

CLC Number:

TM751

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201812055

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

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