Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0637007(2025)
Infrared- and Visible-Image Alignment of Power Equipment Based on Local Normalization
Fig. 1. Comparison of feature point detection methods. (a) Infrared images; (b) visible images
Fig. 5. Experimental results. (a)‒(f) Partial experimental results for dataset 1; (g)‒(l) partial experimental results for dataset 2
Fig. 6. Fusion of grayscale images. (a)‒(f) Partial fusion grayscale image of dataset 1; (g)‒(l) partial fusion grayscale image of dataset 2
Fig. 7. Alignment performance evaluation results for ten algorithms. (a) Accuracy matching points evaluation results on dataset 1; (b) accuracy matching points evaluation results on dataset 2; (c) precision evaluation results on dataset 1; (d) precision evaluation results on dataset 2
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Dahua Li, Wenpeng Zheng, Xuan Li, Xiao Yu, Qiang Gao. Infrared- and Visible-Image Alignment of Power Equipment Based on Local Normalization[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0637007
Category: Digital Image Processing
Received: Jul. 1, 2024
Accepted: Aug. 2, 2024
Published Online: Mar. 6, 2025
The Author Email: Xuan Li (16600268451@stud.tjut.edu.cn)
CSTR:32186.14.LOP241592