基于深度学习三维成型的钢板表面缺陷检测
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兰欢,余建波
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Steel surface defect detection based on deep learning 3D reconstruction
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Huan LAN,Jian-bo YU
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| 表 5 多尺度特征增强的级联式三维重建网络对钢板表面缺陷的三维检测精度 |
| Tab.5 Three-dimensional detection accuracy for steel plate surface defect by CasMVSNet with multiscale feature enhancement |
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| 缺陷类型 | ${b_1}/{\rm{mm}}$ | ${b_2}/{\rm{mm}}$ | ${{\varepsilon }}/{\text{% }}$ | | 割痕缺陷1 | 长 | 40.0 | 33.88 | 15.3 | | 宽 | 3.0 | 3.13 | 4.3 | | 深 | 2.0 | 1.85 | 7.5 | | 割痕缺陷2 | 长 | 33.0 | 27.13 | 17.8 | | 宽 | 3.0 | 3.17 | 5.7 | | 深 | 1.2 | 1.10 | 8.3 | | 焊点缺陷 | 长 | 9.1 | 9.59 | 5.4 | | 宽 | 6.0 | 5.74 | 4.3 | | 高 | 1.3 | 1.39 | 7.0 | | 钻痕缺陷 | 长 | 7.0 | 6.69 | 4.4 | | 宽 | 7.0 | 6.68 | 4.6 | | 高 | 2.5 | 2.26 | 9.6 | | 结疤缺陷 | 长 | 4.4 | 4.64 | 5.5 | | 宽 | 4.1 | 4.30 | 4.9 | | 高 | 0.7 | 0.76 | 8.6 |
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