Hui Wang, Jun Wang, Zhaoliang Cao. Water Contact Angle Calculation Method Based on Faster RCNN[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0812002
- Laser & Optoelectronics Progress
- Vol. 61, Issue 8, 0812002 (2024)
Fig. 1. Traditional Faster RCNN model
Fig. 2. ResNet101 architecture model
Fig. 3. Residual module
Fig. 4. FPN framework
Fig. 5. Network structure of ResNet101 and FPN
Fig. 6. Network framework of channel attention module
Fig. 7. Spatial attention module network framework
Fig. 8. CBAM network framework
Fig. 9. Network structure of improved Faster RCNN
Fig. 10. Improved model water droplet recognition effect
Fig. 11. Water contact angle calculation flow
Fig. 12. Canny edge detection
Fig. 13. Harris corner extraction
Fig. 14. IRLS contour fitting
Fig. 15. The right water contact angle calculated by establishing the coordinate system with the center of the ellipse
Fig. 16. Comparison of location results of droplet region. (a)‒(f) The detection results of the original Faster RCNN; (g)‒(l) the detection result of improved Faster RCNN
Fig. 17. Comparison of the original network mAP curve (thin) and the improved Faster RCNN network mAP curve (thick)
Fig. 18. Image of contact angle changing over time
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Table 1. Network layer parameters before and after ResNet101 improvement
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Table 2. Comparison of ablation experiments
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Table 3. Comparison results with relevant algorithms
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Table 4. Measurement results of contact angle
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