Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks

This paper proposes a deep convolutional neural network (CNN) -based technique for the detection of micro defects on metal screw surfaces. The defects we consider include surface damage, surface dirt, and stripped screws. Images of metal screws with different types of defects are collected using ind...

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Detalles Bibliográficos
Autores principales: Song, Limei, Li, Xinyao, Yang, Yangang, Zhu, Xinjun, Guo, Qinghua, Yang, Huaidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263637/
https://www.ncbi.nlm.nih.gov/pubmed/30384497
http://dx.doi.org/10.3390/s18113709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263637/
https://www.ncbi.nlm.nih.gov/pubmed/30384497
http://dx.doi.org/10.3390/s18113709

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