Mask-Point: Automatic 3D Surface Defects Detection Network for Fiber-Reinforced Resin Matrix Composites

Surface defects of fiber-reinforced resin matrix composites (FRRMCs) adversely affect their appearance and performance. To accurately and efficiently detect the three-dimensional (3D) surface defects of FRRMCs, a novel lightweight and two-stage semantic segmentation network, i.e., Mask-Point, is pro...

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Detalles Bibliográficos
Autores principales: Li, Helin, Lin, Bin, Zhang, Chen, Xu, Liang, Sui, Tianyi, Wang, Yang, Hao, Xinquan, Lou, Deyu, Li, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415995/
https://www.ncbi.nlm.nih.gov/pubmed/36015646
http://dx.doi.org/10.3390/polym14163390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415995/
https://www.ncbi.nlm.nih.gov/pubmed/36015646
http://dx.doi.org/10.3390/polym14163390

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