Wood Defect Classification Based on Lightweight Convolutional Neural Networks
Different types of wood defects correspond to different processing methods. Good classification means can transform defective boards into practical boards after appropriate processing. The detection accuracy of the wood surface defects is particularly important for improving the utilization rate and...
שמור ב:
| Principais autores: | , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
North Carolina State University
2023-09-01
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| סדרה: | BioResources |
| נושאים: | |
| גישה מקוונת: | https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22592 |
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