Wire Localization Method Based on Visible and Infrared Image Fusion

Aiming at the problem of insufficient positioning accuracy of high-voltage transmission lines in UAV power inspection, a wire localization method fusing visible light color and infrared temperature features is proposed. By super-resolution reconstruction to enhance image details and combining adaptive Canny edge detection with a weighted fusion algorithm, the detection robustness in complex environments is improved. Experiments show that the positioning accuracy of this method is 23% higher than traditional technologies, and the processing speed reaches 12 frames per second, meeting the real-time inspection requirements of UAVs.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/icbase66587.2025.11181408
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Wire Localization Method Based on Visible and Infrared Image Fusion

Yongzhen Ke, Yuhang Chen, Jinfang Weng, Wen‐Yin Chen
Industrial Vision Systems and Defect Detection
article

Wire Localization Method Based on Visible and Infrared Image Fusion

Yongzhen Ke, Yuhang Chen, Jinfang Weng, Wen‐Yin Chen
article en

Abstract

Aiming at the problem of insufficient positioning accuracy of high-voltage transmission lines in UAV power inspection, a wire localization method fusing visible light color and infrared temperature features is proposed. By super-resolution reconstruction to enhance image details and combining adaptive Canny edge detection with a weighted fusion algorithm, the detection robustness in complex environments is improved. Experiments show that the positioning accuracy of this method is 23% higher than traditional technologies, and the processing speed reaches 12 frames per second, meeting the real-time inspection requirements of UAVs.

Fujian Polytechnic of Information Technology (CN)
Openalex Percentile: Top 60%
Industrial Vision Systems and Defect Detection
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