Paper
8 June 2023 Study on the compensation method of laser image positioning error in variable temperature environment based on sliding linear regression model
Wenchuan Hu, Zhu Wang, Gang Chen, Haoming Li
Author Affiliations +
Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127070Z (2023) https://doi.org/10.1117/12.2681361
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
Aiming at the problem of spot center drift caused by the change of medium temperature in the process of laser propagation, this paper considers the influence of actual variable temperature environment, and carries out the research of laser image positioning error compensation method based on sliding linear regression model. First of all, a method to eliminate the gross error of laser image positioning in variable temperature environment is proposed. Secondly, the laser image positioning error method based on sliding linear regression is studied, and the laser image positioning error compensation in the actual variable temperature environment is realized. Finally, the experimental device is built and the field experiment is carried out. The experimental data shows that the peak-to-peak value without error compensation is 3.58 mm, and the peak-to-peak value after compensation is 1.25 mm after comprehensive consideration of the influence of environmental temperature factors, which is reduced by 65%. The experimental results show that the proposed compensation method of laser image positioning error in variable temperature environment based on sliding linear regression model is feasible and has certain engineering application value.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenchuan Hu, Zhu Wang, Gang Chen, and Haoming Li "Study on the compensation method of laser image positioning error in variable temperature environment based on sliding linear regression model", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127070Z (8 June 2023); https://doi.org/10.1117/12.2681361
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KEYWORDS
Data modeling

Laser processing

Image processing

Education and training

Error analysis

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