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

Li, Helin; Lin, Bin; Zhang, Chen; Xu, Liang; Sui, Tianyi; Wang, Yang; Hao, Xinquan; Lou, Deyu; Li, Hongyu

Li, Helin; Lin, Bin; Zhang, Chen; Xu, Liang; Sui, Tianyi; Wang, Yang; Hao, Xinquan; Lou, Deyu; Li, Hongyu.

Afiliación

Li H; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Lin B; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Zhang C; Science and Technology of Advanced Functional Composite Laboratory, Aerospace Research Institute of Materials and Processing Technology, Beijing 100076, China.
Xu L; Science and Technology of Advanced Functional Composite Laboratory, Aerospace Research Institute of Materials and Processing Technology, Beijing 100076, China.
Sui T; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Wang Y; International Institute for Innovative Design and Intelligent Manufacturing, Tianjin University, Shaoxing 312000, China.
Hao X; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Lou D; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.
Li H; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China.

Polymers (Basel) ; 14(16)2022 Aug 19.

Article en En | MEDLINE | ID: mdl-36015646

Palabras clave

automated optical inspection; composite materials; defect detection; fiber-reinforced resin matrix composites; semantic segmentation; surface defect

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Polymers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google