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Reseach Article

An Enhanced Automatic Surface and Structural Flaw Inspection and Categorization using Image Processing Both for Flat and Textured Ceramic Tiles

by Md. Maidul Islam, Md. Rowshan Sahriar, Md. Belal Hossain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 3
Year of Publication: 2012
Authors: Md. Maidul Islam, Md. Rowshan Sahriar, Md. Belal Hossain
10.5120/7325-9159

Md. Maidul Islam, Md. Rowshan Sahriar, Md. Belal Hossain . An Enhanced Automatic Surface and Structural Flaw Inspection and Categorization using Image Processing Both for Flat and Textured Ceramic Tiles. International Journal of Computer Applications. 48, 3 ( June 2012), 1-10. DOI=10.5120/7325-9159

@article{ 10.5120/7325-9159,
author = { Md. Maidul Islam, Md. Rowshan Sahriar, Md. Belal Hossain },
title = { An Enhanced Automatic Surface and Structural Flaw Inspection and Categorization using Image Processing Both for Flat and Textured Ceramic Tiles },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 3 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number3/7325-9159/ },
doi = { 10.5120/7325-9159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:05.820938+05:30
%A Md. Maidul Islam
%A Md. Rowshan Sahriar
%A Md. Belal Hossain
%T An Enhanced Automatic Surface and Structural Flaw Inspection and Categorization using Image Processing Both for Flat and Textured Ceramic Tiles
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 3
%P 1-10
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the price of ceramic tiles depend on its limpidness and precision of surface texture, color and shape, it's in fact a great challenge to control surface eminence and uphold production rate in the field of industrial fabrication of ceramic tiles. Under consideration these criteria, in this research paper, we have proposed an enhanced automatic surface flaw detection and categorization procedure that is able to guarantee the quality of ceramic tiles as well as production rate in industrial fabrication. Our proposed model plays an important role for automatic revealing of surface flaw during production and packaging. This proposed model includes an automatic categorization technique using computer vision that helps us to make sense about the pattern of surface defect within a very short time and also helps to make quick decision about the recovery process. Moreover, it also ensures the quality of tiles automatically during packaging procedure so that the defected tiles may not be mixed up with the fresh tiles.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Quality Control Surface And Structural Flaw Pattern Of Defect Flat And Textured Tiles