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Energies 2017, 10(4), 415; doi:10.3390/en10040415

Image Recognition of Icing Thickness on Power Transmission Lines Based on a Least Squares Hough Transform

1
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
2
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
3
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Fengshou Gu
Received: 13 January 2017 / Revised: 12 March 2017 / Accepted: 18 March 2017 / Published: 23 March 2017
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Abstract

In view of the shortcomings of current image detection methods for icing thickness on power transmission lines, an image measuring method for icing thickness based on remote online monitoring was proposed. In this method, a Canny operator is used to get the image edge, in addition, a Hough transform and least squares are combined to solve the problems of traditional Hough transform in the parameter space whereby it is easily disturbed by the image background and noises, and eventually the edges of iced power transmission lines and un-iced power transmission lines are accurately detected in images which have low contrast, complex grayscale, and many noises. Furthermore, based on the imaging principle of the camera, a new geometric calculation model for icing thickness is established by using the radius of power transmission line as a reference, and automatic calculation of icing thickness is achieved. The results show that proposed image recognition method is rarely disturbed by noises and background, the image recognition results show good agreement with the real edges of iced power transmission lines and un-iced power transmission lines, and is simple and easy to program, which suggests that the method can be used for image recognition and calculation of icing thickness. View Full-Text
Keywords: power transmission line; icing thickness; Hough transform; least squares; geometric calculation model power transmission line; icing thickness; Hough transform; least squares; geometric calculation model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, J.; Wang, J.; Shao, J.; Li, J. Image Recognition of Icing Thickness on Power Transmission Lines Based on a Least Squares Hough Transform. Energies 2017, 10, 415.

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