Foreign object extraction method of transmission line based on affinity propagation clustering

Xilei Yang; Xiang Zhang; Xuefei Ma; Hongzhi Zhu; Hao Xu; Runping He; Zhefei Wang

doi:10.1117/12.3014598

8 December 2023 Foreign object extraction method of transmission line based on affinity propagation clustering

Xilei Yang, Xiang Zhang, Xuefei Ma, Hongzhi Zhu, Hao Xu, Runping He, Zhefei Wang

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 129430V (2023) https://doi.org/10.1117/12.3014598
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

The existing transmission line foreign matter monitoring methods mainly rely on manual on-site line inspection and background video monitoring, which consumes a lot of manpower and is difficult to ensure the real-time monitoring. In order to effectively prevent the occurrence of external damage accidents of transmission lines, an on-line monitoring system for foreign objects in transmission lines is developed. Through the target extraction and feature recognition of foreign objects around transmission lines, the threatening foreign objects can be warned in time. However, in the foreign object extraction link of the system, it is difficult to distinguish the actual target in the case of multi-target, resulting in large extraction error. To solve this problem, this paper proposes a transmission line foreign object target extraction method based on affinity propagation clustering. In the target extraction link, the pixels are affinity clustered based on coordinates, so as to accurately extract the actual target pixels and establish the foundation for subsequent pattern recognition. The experimental results show that the target extraction algorithm in this paper can improve the pixel extraction accuracy by about 30%, and then improve the foreign object recognition accuracy by 23.48%. The application effect is good, and effectively improves the effectiveness of the transmission line on-line monitoring system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xilei Yang, Xiang Zhang, Xuefei Ma, Hongzhi Zhu, Hao Xu, Runping He, and Zhefei Wang "Foreign object extraction method of transmission line based on affinity propagation clustering", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 129430V (8 December 2023); https://doi.org/10.1117/12.3014598

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KEYWORDS

Detection and tracking algorithms

Target recognition

Pattern recognition

Feature extraction

Cameras

Sensors

Target acquisition

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