An angle measurement algorithm for high-voltage switch aided by clustering based on ghost reduction PBAS

Peilin Li; Yan Ding; Jianhui Qi

doi:10.1117/12.2623004

27 March 2022 An angle measurement algorithm for high-voltage switch aided by clustering based on ghost reduction PBAS

Peilin Li, Yan Ding, Jianhui Qi

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121692K (2022) https://doi.org/10.1117/12.2623004
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

The high-voltage switch is an important equipment for transmission in the power system. In autonomous inspection, a major task is to detect the state of the switches. Aimed at state determination, an angle measurement algorithm that estimates the angle between two switch arms is presented in this paper. The GR-PBAS algorithm is proposed to obtain accurate foreground switch segmentation results, eliminating the ghost at the same time. The line segments are extracted by introducing PPHT for representation. A line assignment algorithm is then put forward to map the line segments to the two arms of a switch by K-means, after which the angle can finally be calculated without much effort. The experiment and validation on real-scene data demonstrate the effectiveness of the proposed algorithm.

Citation Download Citation

Peilin Li, Yan Ding, and Jianhui Qi "An angle measurement algorithm for high-voltage switch aided by clustering based on ghost reduction PBAS", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121692K (27 March 2022); https://doi.org/10.1117/12.2623004

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KEYWORDS

Switches

Image segmentation

Video

Inspection

Video surveillance

Image processing algorithms and systems

Detection and tracking algorithms

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