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10 November 2022 Research on feature point detection-based insulator multispectral image matching
Long Luo, Tao Yu, Pengwen Qi, Ting Han, Dequan Yan, Qianyu Li
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Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123012Q (2022) https://doi.org/10.1117/12.2644673
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China
Abstract
The matching and fusion of insulator multispectral images is an important prerequisite for the operation condition monitoring and fault diagnosis of transmission line insulators using multispectral cameras carried by drones. There are a lot of image matching algorithms, and each algorithm has its advantages and limitations. At present, no scholar has proposed a decision model for insulator multispectral image matching. The drone and the multispectral camera were used in this paper to shoot insulators at different shooting distances and angles to obtain multispectral images of insulators. Comprehensively considering the characteristics of insulators, the image matching algorithms based on feature point detection were analyzed and compared, and the region of interest mutual information method was used as the evaluation system of matching degree. Finally, the decision model of insulator multispectral image matching was constructed, which provides conditions for the subsequent insulator multispectral image research.
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Long Luo, Tao Yu, Pengwen Qi, Ting Han, Dequan Yan, and Qianyu Li "Research on feature point detection-based insulator multispectral image matching", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123012Q (10 November 2022); https://doi.org/10.1117/12.2644673
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KEYWORDS
Multispectral imaging
Detection and tracking algorithms
Cameras
Image processing
Image fusion
Image quality
Image transmission
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