An intelligent vision system for detecting defects in glass products for packaging and domestic use-Reference-Cited by-同舟云学术

An intelligent vision system for detecting defects in glass products for packaging and domestic use

Published:2014-10-21 Issue:1-4 Volume:77 Page:485-494
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Cabral João David Daminelli,de Araújo Sidnei Alves

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-014-6442-y.pdf

Reference21 articles.

1. Nishu G, Agrawal S (2011) Glass defect detection techniques using digital image processing—a review. Spec Issue IP Multimed Commun 1:65–67

2. Pesante-Santana JA, Woldstad JC (2000) The quality inspection task in modern manufacturing. In: Karwowski W (ed) Proc. of international encyclopedia of ergonomics. Taylor and Francis, London

3. Vernon D (1991) Machine vision: automated visual inspection and robot vision. Prentice Hall, Great Britain

4. Wang J, Asundi AKA (2000) Computer vision system for wineglass defect inspection via gabor-filter-based texture features. Inf Sci 127:157–171. doi: 10.1016/S0020-0255(00)00036-0

5. Batchelor BG, Whelan PF (2002) Intelligent vision systems for industry. Springer, London

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