Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1630004(2021)
Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning
Fig. 1. Appearances of masks under different magnifications. (a) 5×; (b) 20×; (c) 50×; (d) 100×
Fig. 3. Experimental results of reproducibility and uniformity of mask samples. (a) Reproducibility experiment; (b) uniformity experiment
Fig. 7. Characteristic peaks of the Raman spectrum of the mask. (a) 8#, 10#, 14# , 16#; (b) 1#, 2#, 19#, 31#, 33#; (c) 3#, 12#, 13#, 35#; (d) 21#, 25#, 29#, 30#
Fig. 9. Prediction results of the Bayesian discriminant analysis model. (a) Train set; (b) test set
|
|
|
|
|
Get Citation
Copy Citation Text
Jinkun Liu, Chunyu Li, Hang Lü, Weigang Kong, Wei Sun, Gefei Zhang. Classification and Recognition of Disposable Masks Based on Raman Spectroscopy and Machine Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1630004
Category: Spectroscopy
Received: Aug. 24, 2020
Accepted: Sep. 22, 2020
Published Online: Aug. 17, 2021
The Author Email: Chunyu Li (lichunyu@ppsuc.edu.cn)