Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two classes: visible (e.g., scratches, shape error, etc.)...

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Detalles Bibliográficos
Autores principales: Czimmermann, Tamás, Ciuti, Gastone, Milazzo, Mario, Chiurazzi, Marcello, Roccella, Stefano, Oddo, Calogero Maria, Dario, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085592/
https://www.ncbi.nlm.nih.gov/pubmed/32155900
http://dx.doi.org/10.3390/s20051459

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085592/
https://www.ncbi.nlm.nih.gov/pubmed/32155900
http://dx.doi.org/10.3390/s20051459

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