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Article:Automatic Detection of Porosity and Slag Inclusion in Boilers Using Statistical Pattern Recognition Techniques

by P.N.Jebarani Sargunar, R.Sukanesh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 21
Year of Publication: 2010
Authors: P.N.Jebarani Sargunar, R.Sukanesh
10.5120/51-646

P.N.Jebarani Sargunar, R.Sukanesh . Article:Automatic Detection of Porosity and Slag Inclusion in Boilers Using Statistical Pattern Recognition Techniques. International Journal of Computer Applications. 1, 21 ( February 2010), 71-76. DOI=10.5120/51-646

@article{ 10.5120/51-646,
author = { P.N.Jebarani Sargunar, R.Sukanesh },
title = { Article:Automatic Detection of Porosity and Slag Inclusion in Boilers Using Statistical Pattern Recognition Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 21 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 71-76 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number21/51-646/ },
doi = { 10.5120/51-646 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:36.414811+05:30
%A P.N.Jebarani Sargunar
%A R.Sukanesh
%T Article:Automatic Detection of Porosity and Slag Inclusion in Boilers Using Statistical Pattern Recognition Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 21
%P 71-76
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The automatic weld inspection system can be used for training weld quality inspectors and for weld quality assessment in the welding industry. The system is aimed at increasing inspection speed, accuracy and at the same time reducing subjectivity associated with the manual interpretation of the weld radiographs. The system detects the weld defects, classifies it, and displays the output with greater accuracy compared to the previously existing methods. It implements fuzzy logic that helps in the automatic recognition of weld defects efficiently.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Pattern recognition