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Reseach Article

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
  1. Garcia-Alcaraz, Jorge Luis, Maldonado-Macias, Aide Aracely, Cortes-Robles, Guillermo, Latin America-Springer, 2014. "Lean Manufacturing in the Developing World_ Methodology, Case Studies and Trends".
  2. Rashmi Mishra, Dolly Shukla , International Journal of Emerging Technology and Advanced Engineering, Volume 4, March 2014. "An Automated Ceramic Tiles Defect Detection and Classification System Based on Artificial Neural Network".
  3. Sunpreet Singh, Maninder Kaur, IOSR Journal of Engineering, Volume 2(3), pp 429-32, March 2012. "Machine Vision System for Automated Visual Inspection of Tile's Surface Quality".
  4. Rafael C. Gonzalez and Richard E. Woods, third edition, Pearson Education International. "Digital Image Processing".
  5. Gonzalez, JM Valiente, F. Acebron Linuesa, and F. Lopez Garcia, 2010. "An automatic visual inspection system for ceramic tile manufacturing defects".
  6. Yadraj Meena, Dr. Ajay Mittal, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, July 2013. "Blobs and Cracks Detection on Plain Ceramic Tile Surface".
  7. Costas Boukouvalas et al. , DIBE, University of Genoa, 16145 Genova, Italy, pp. 49-54. ," An Integrated System for Quality Inspection of Tiles".
  8. Dr. S. Vijayarani, Mrs. M. Vinupriya, International Journal of Innovative Research in Computer and Communication Engineering, Volume 1, October 2013. "Performance Analysis of Canny and Sobel Edge Detection Algorithms in Image Mining".
  9. Vineet Saini, Rajnish Garg, IOSR Journal of Electronics and Communication Engineering, Volume 1, May-June 2012, ISSN: 2278-2834. "A Comparative Analysis on Edge Detection Techniques Used in Image Processing".
  10. Radhika Chandwadkar, Proceedings of Sixth IRAJ International Conference, Pune, India, October 2013. "Comparison Of Edge Detection Techniques".
  11. Elbehiery, H. , A. Hefnawy, and M. Elewa. International Journal of Computer, Information Science and Engineering, , pp. 158-162, 2007. "Surface Defects Detection for Ceramic Tiles Using Image Processing and Morphological Techniques. "
  12. Nenadic, K. , Igor Novak, Josip Job, F. Jovic, and Z. Jagnjic, 48th International Symposium ELMAR-2006, Zadar, Croatia, pp. 103-106, 07-09 June 2006. "A Possibility of Applying Differential Digital Holography in Manufacturing Process".
Index Terms

Computer Science
Information Sciences

Keywords

Canny edge detection image processing thresholding contrast stretching.