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...

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Detalles Bibliográficos
Autores principales: Zhao, Ziyu, Ge, Zhedong, Jia, Mengying, Yang, Xiaoxia, Ding, Ruicheng, Zhou, Yucheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611466/
https://www.ncbi.nlm.nih.gov/pubmed/36298082
http://dx.doi.org/10.3390/s22207733

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