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
- Laser & Optoelectronics Progress
- Vol. 58, Issue 16, 1630004 (2021)
Fig. 1. Appearances of masks under different magnifications. (a) 5×; (b) 20×; (c) 50×; (d) 100×
Fig. 2. Mask spectra obtained by different wavelength lasers
Fig. 3. Experimental results of reproducibility and uniformity of mask samples. (a) Reproducibility experiment; (b) uniformity experiment
Fig. 4. Raman spectrum processing results of 37 mask samples
Fig. 5. Flow chart of the mask classification model based on Raman spectroscopy
Fig. 6. Visualization of the PCA
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. 8. Prediction results of the SVM model. (a) Train set; (b) test set
Fig. 9. Prediction results of the Bayesian discriminant analysis model. (a) Train set; (b) test set
Fig. 10. Relationship between iteration times and cross entropy
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Table 1. Sample parameters of the disposable protective masks
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Table 2. Contribution rate of the PCA characteristic variance
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Table 3. Mask classification results based on PCA and Raman spectra
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Table 4. Influence of different kernel functions on the SVM model
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Table 5. Bayesian discriminant function of mask samples
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