Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

Fabric defect detection is a necessary and essential step of quality control in the textile manufacturing industry. Traditional fabric inspections are usually performed by manual visual methods, which are low in efficiency and poor in precision for long-term industrial applications. In this paper, w...

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Detalles Bibliográficos
Autores principales: Mei, Shuang, Wang, Yudan, Wen, Guojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948749/
https://www.ncbi.nlm.nih.gov/pubmed/29614813
http://dx.doi.org/10.3390/s18041064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948749/
https://www.ncbi.nlm.nih.gov/pubmed/29614813
http://dx.doi.org/10.3390/s18041064

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