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A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm
Particleboard surface defects have a significant impact on product quality. A surface defect detection method is essential to enhancing the quality of particleboard because the conventional defect detection method has low accuracy and efficiency. This paper proposes a YOLO v5-Seg-Lab-4 (You Only Loo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611466/ https://www.ncbi.nlm.nih.gov/pubmed/36298082 http://dx.doi.org/10.3390/s22207733 |