Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0800003(2024)
Progress in Research on Tobacco Online Inspection Technology Based on Machine Vision
Fig. 1. The overall structure of vision inspection system for tobacco conveying state[13]
Fig. 2. Visual inspection device for cigarette defects
Fig. 3. Visual inspection device for cigarette box appearance
Fig. 4. HSV spatial analysis of cigarettes image samples[40]
Fig. 5. Original and segmented images of tobacco leaves[44]
Fig. 6. Original image and opening operation effect of tobacco mixture[13]
Fig. 7. Flow chart of ULBP feature and HOG feature fusion[54]
Fig. 8. Convolutional neural network structure diagram[60]
Fig. 9. Light-VGG network structure[60]
Fig. 10. Microscopic characteristics of cut tobacco[65]. (a) Leaf filament; (b) stem filamen; (c) expanded leaf filament; (d) reconstituted tobacco leaf filament
Fig. 11. Improvement of convolutional neural network model based on LeNet-5[66]
Fig. 12. Improved YOLOv3 network structure[29]
Fig. 13. SAE network structure[71]
Fig. 14. The process of cigarette box recognition system[72]
Fig. 15. Tobacco disease recognition model based on InceptionV3[74]
Fig. 16. ResNet 20 network structure[75]
Fig. 17. The process of transfer learning[76]
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Yusheng Wu, Anhu Li, Yaming Wan, Tianchen Meng. Progress in Research on Tobacco Online Inspection Technology Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0800003
Category: Reviews
Received: May. 18, 2023
Accepted: Jun. 20, 2023
Published Online: Mar. 5, 2024
The Author Email: Wu Yusheng (21480276@qq.com), Li Anhu (lah@tongji.edu.cn)