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Glass Defect Detection Techniques using Digital Image Processing –A Review

IP Multimedia Communications
© 2011 by IJCA Journal
ISBN : 978-93-80864-99-3
Year of Publication: 2011
Sunil Agrawal

Nishu and Sunil Agrawal. Glass Defect Detection Techniques using Digital Image Processing A Review. Special issues on IP Multimedia Communications (1):65-67, October 2011. Full text available. BibTeX

	author = {Nishu and Sunil Agrawal},
	title = {Glass Defect Detection Techniques using Digital Image Processing A Review},
	journal = {Special issues on IP Multimedia Communications},
	month = {October},
	year = {2011},
	number = {1},
	pages = {65-67},
	note = {Full text available}


Glass defects are a major reason for poor quality and of embarrassment for manufacturers. It is a tedious process to manually inspect very large size glasses. The manual inspection process is slow, time-consuming and prone to human error. Automatic inspection systems using image processing can overcome many of these disadvantages and offer manufacturers an opportunity to significantly improve quality and reduce costs. In this paper we review various glass defects and the possible automated solutions using image processing techniques for defect detection.


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