Laser Spot Centering Algorithm of Double-Area Shrinking Iteration Based on Baseline Method
Source abstract
Abstract
High-precision laser spot center detection occupies an important position in optical measurement technology. In this paper, we propose a laser spot centering method to improve positioning accuracy. This method is an iterative double-area shrinkage approach based on the baseline method. The background noise baseline is calculated from the noise statistics of multiple background image frames acquired, and then the background noise is subtracted during the calculation while retaining the effective information of the spot region. The real spot area is located in the end by double-area shrinkage iteration to calculate the position of the spot center. Simulation and experimental results showed that our proposed method has strong anti-background noise interference ability, as well as higher positioning accuracy in locating the spot center than commonly used approaches; the maximum localization accuracy could reach 0.05 pixels, meeting the real-time requirements of the algorithm. The fluctuation range of measurement results was small when continuously detecting the center of the same laser spot, which could reach 0.04 and 0.03 pixels in the x- and y-directions, respectively. The result indicates that the method can meet the requirements of laser high-precision positioning.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Optical Systems and Laser Technology · Optical measurement and interference techniques · Adaptive optics and wavefront sensing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electronic Information and Engineering, Changchun University of Science and Technology, Changchun 130022, China
Department of Management Engineering, Jilin Communications Polytechnic, Changchun 130022, China
School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
Funding
Science and Technology Research Project of Jilin Provincial Science and Technology Department · XXX plan project
References (22)
Show source-provided references
1. Method of Forecasting Energy Center Positions of Laser Beam Spot Images Using a Parallel Hierarchical Network for Optical Communication Systems10.1117/1.OE.52.5.055003 ↗
2. Cheng, Z., Rui, Z., Xu, B., and Zheng, Z. (2020, January 28–29). Design of Multi Axis Parallel Detection System for Laser Aiming. Proceedings of the 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), Phuket, Thailand.
3. Method to Measure the Position Offset of Multiple Light Spots in a Distributed Aperture Laser Angle Measurement System10.1364/AO.56.001740 ↗
4. Li, Q., Xu, S., Xu, Y., Guo, H., Wang, Q., He, D., Peng, Z., and Huang, Y. (2019). Method to Measure Light Spot Position in Beacon-Less Inter-Satellite Communication System. Appl. Sci., 9.10.3390/app9153032 ↗
5. Zhou, P., Wang, X., Huang, Q., and Ma, C. (2018, January 25–27). Laser Spot Center Detection Based on Improved Circled Fitting Algorithm. Proceedings of the 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi’an, China .10.1109/IMCEC.2018.8469554 ↗
6. Laser Spot Center Detection and Comparison Test10.1007/s13320-018-0432-x ↗
7. Wang, X., Zhao, Q.C., and Ling, Q.H. (2017, January 6–9). Robust Image Processing Method of Laser Spot Center Location in Complex Industrial Environment. Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Xiamen, China.10.1109/ISPACS.2017.8266558 ↗
8. Laser Spot Tracking Based on Modified Circular Hough Transform and Motion Pattern Analysis10.3390/s141120112 ↗
9. Vázquez-Otero, A., Khikhlukha, D., Solano-Altamirano, J.M., Dormido, R., and Duro, N. (2016). Laser Spot Detection Based on Reaction Diffusion. Sensors, 16.10.3390/s16030315 ↗
10. High-Precision Laser Spot Center Positioning Method for Weak Light Conditions10.1364/AO.381626 ↗
11. Non-Iterative Spot Center Location Algorithm Based on Gaussian for Fish-Eye Imaging Laser Warning System10.1016/j.ijleo.2011.10.012 ↗
12. Research on APT Spot Detection Algorithm in Space Optical Communication10.1088/1757-899X/452/4/042184 ↗
13. Pointing Bias Calibration of Gaofen-7 Laser Altimeter Based on Single Laser Footprint Image10.5194/isprs-annals-V-2-2020-113-2020 ↗
14. Accurate Beacon Positioning Method for Satellite-to-Ground Optical Communication10.1364/OE.25.030996 ↗
15. Monte-Carlo Analysis of Centroid Detected Accuracy for Wavefront Sensor10.1016/j.optlastec.2004.08.009 ↗
16. Wang, Q., Yang, Z., and Wei, P. (2015, January 20–21). Research on Laser Ranging Method Based on CMOS Image Sensor. Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation, Shenzhen, China.10.2991/icmra-15.2015.261 ↗
17. Lin, C.S., Huang, Y.C., Chen, S.H., Hsu, Y.L., and Lin, Y.C. (2018). The Application of Deep Learning and Image Processing Technology in Laser Positioning. Appl. Sci., 8.10.3390/app8091542 ↗
18. Optimized Algorithm of Laser Spot Center Location in Strong Noise10.1088/1742-6596/13/1/073 ↗
19. An Image Denoising Threshold Estimation Method
20. Chen, M., and Yang, P. (2013, January 16–18). An Adaptive Non-Local Means Image Denoising Model. Proceedings of the 2013 6th International Congress on Image and Signal Processing (CISP), Hangzhou, China.10.1109/CISP.2013.6743995 ↗
21. He, C., Guo, K., and Chen, H. (2021). An Improved Image Filtering Algorithm for Mixed Noise. Appl. Sci., 11.10.3390/app112110358 ↗
22. (2004). Lasers and Laser-Related Equipment. Test Methods for Laser Beam Widths, Divergence Angles and Beam Propagation Ratios. Intrinsic and Geometrical Laser Beam Classification, Propagation and Details of Test Methods (Standard No. BS PD ISO/TR 11146-3-2004).