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Reseach Article

Glass Defect Detection Techniques using Digital Image Processing �A Review

Published on October 2011 by Nishu, Sunil Agrawal
IP Multimedia Communications
Foundation of Computer Science USA
IPMC - Number 1
October 2011
Authors: Nishu, Sunil Agrawal
e779c903-8a64-440a-8e6c-2ecdd3ad8503

Nishu, Sunil Agrawal . Glass Defect Detection Techniques using Digital Image Processing �A Review. IP Multimedia Communications. IPMC, 1 (October 2011), 65-67.

@article{
author = { Nishu, Sunil Agrawal },
title = { Glass Defect Detection Techniques using Digital Image Processing �A Review },
journal = { IP Multimedia Communications },
issue_date = { October 2011 },
volume = { IPMC },
number = { 1 },
month = { October },
year = { 2011 },
issn = 0975-8887,
pages = { 65-67 },
numpages = 3,
url = { /specialissues/ipmc/number1/3750-ipmc014/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 IP Multimedia Communications
%A Nishu
%A Sunil Agrawal
%T Glass Defect Detection Techniques using Digital Image Processing �A Review
%J IP Multimedia Communications
%@ 0975-8887
%V IPMC
%N 1
%P 65-67
%D 2011
%I International Journal of Computer Applications
Abstract

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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Index Terms

Computer Science
Information Sciences

Keywords

Defect detection image processing computer vision