A Novel High Recognition Rate Defect Inspection Method for Carbon Fiber Plain-Woven Prepreg Based on Image Texture Feature Compression.

Li, Lun; Wang, Yiqi; Qi, Jialiang; Xiao, Shenglei; Gao, Hang

Li, Lun; Wang, Yiqi; Qi, Jialiang; Xiao, Shenglei; Gao, Hang.

Afiliação

Li L; Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Wang Y; Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Qi J; Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Xiao S; Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.
Gao H; Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

Polymers (Basel) ; 14(9)2022 Apr 30.

Article em En | MEDLINE | ID: mdl-35567024

Palavras-chave

defect inspection; k-means algorithm; plain-woven prepreg; texture feature compression

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Polymers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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