Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks-Reference-Cited by-同舟云学术

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Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks

Published:2018-11-09 Issue:11 Volume:13 Page:e0203192
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Essid Oumayma,Laga Hamid,Samir Chafik^ORCID

Funder

University of Clermont Auvergne, University of Murdoch

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

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2. A real-time surface inspection system for precision steel balls based on machine vision;YJ Chen;Measurement Science and Technology,2016

3. Design and Application of Industrial Machine Vision Systems;H Golnabi;Robot Comput-Integr Manuf,2007

4. Digital Image Processing: PIKS Inside;WK Pratt,2001

5. Foundations and Trends in Machine Learning;Yoshua Bengio,2009

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