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Surface Defect Detection in a Tile using Digital Image Processing: Analysis and Evaluation

by Foram Sanghadiya, Darshana Mistry
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 10
Year of Publication: 2015
Authors: Foram Sanghadiya, Darshana Mistry
10.5120/20375-2592

Foram Sanghadiya, Darshana Mistry . Surface Defect Detection in a Tile using Digital Image Processing: Analysis and Evaluation. International Journal of Computer Applications. 116, 10 ( April 2015), 33-35. DOI=10.5120/20375-2592

@article{ 10.5120/20375-2592,
author = { Foram Sanghadiya, Darshana Mistry },
title = { Surface Defect Detection in a Tile using Digital Image Processing: Analysis and Evaluation },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 10 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number10/20375-2592/ },
doi = { 10.5120/20375-2592 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:56:45.946119+05:30
%A Foram Sanghadiya
%A Darshana Mistry
%T Surface Defect Detection in a Tile using Digital Image Processing: Analysis and Evaluation
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 10
%P 33-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Quality control is imperative in any industry. Inspection of ceramic tile is done in conditions like noise, extreme temperature, and humidity. There are several stages through which we can maintain quality of a tile. These stages include inspection of color variation in a tile, chip offs in a tile, surface defects in a tile. This paper provides analysis of techniques which are useful to find surface defects like crack, blob, hole, variation in color, defect in corners, and pattern mismatch in tile which has pattern on it.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Canny edge detection image processing thresholding contrast stretching.