Laser & Optoelectronics Progress, Volume. 61, Issue 23, 2312003(2024)
Inversion of Light Scattering for Optical Component Defects Using a Cascaded Machine Learning Algorithm
[4] Xu X B, Duan M H, Fan X et al. Surface defect detection of transparent objects based on fringe modulation[J]. Acta Optica Sinica, 43, 0512003(2023).
[5] Xiang Y C, Lin Y X, Ren Z Y. Study on surface defect detection method of optical element[J]. Optical Instruments, 40, 78-87(2018).
[6] Lai L. The particle simulation of dynamic processes of laser damage induced by surface microdefects of KDP crystals[D], 28-70(2020).
[9] Li M Z, Hou X, Zhao W C et al. Current situation and development trend of aspheric optical surface defect detection technology (invited)[J]. Infrared and Laser Engineering, 51, 20220457(2022).
[16] Geurts P, Ernst D, Wehenkel L. Extremely randomized trees[J]. Machine Learning, 63, 3-42(2006).
[18] Wang S T. Imaging theoretical modeling and system analysis of smooth surface defect evaluation based on light scattering method[D], 41-53(2015).
[19] Wu F. Detection canability improvement technology for weak defects on smooth surfaces based on dark field scattering[D], 26-28(2020).
Get Citation
Copy Citation Text
Weibin Cai, Feibin Wu, Ruyi Li, Jun Han. Inversion of Light Scattering for Optical Component Defects Using a Cascaded Machine Learning Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(23): 2312003
Category: Instrumentation, Measurement and Metrology
Received: Feb. 5, 2024
Accepted: Apr. 3, 2024
Published Online: Nov. 19, 2024
The Author Email: Jun Han (junhan@fjirsm.ac.cn)
CSTR:32186.14.LOP240664