Surface Defects Detection for Ceramic Tiles UsingImage Processing and Morphological Techniques
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Surface Defects Detection for Ceramic Tiles UsingImage Processing and Morphological Techniques

Authors: H. Elbehiery, A. Hefnawy, M. Elewa

Abstract:

Quality control in ceramic tile manufacturing is hard, labor intensive and it is performed in a harsh industrial environment with noise, extreme temperature and humidity. It can be divided into color analysis, dimension verification, and surface defect detection, which is the main purpose of our work. Defects detection is still based on the judgment of human operators while most of the other manufacturing activities are automated so, our work is a quality control enhancement by integrating a visual control stage using image processing and morphological operation techniques before the packing operation to improve the homogeneity of batches received by final users.

Keywords: Quality control, Defects detection, Visual control, Image processing, Morphological operation

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084534

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 6636

References:


[1] Vincent LEBRUN, "Quality control of ceramic tiles by machine vision," Flaw Master 3000, Surface Inspection Ltd. 2001.
[2] C. Boukouvalas, J Kittler, R Marik, M Mirmehdi and M Petrou, "Ceramic Tile Inspection for Color and Structural defects." I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 1, March 1998.
[3] Stewart Coe, "Automatic tile inspection." Surface Inspection Limited, International Ceramics, Bristol, U.K., Issue 1, 2000.
[4] Costas Boukouvalas, Francesco De Natale, Josef Kittler, and Roberto Salgrai. "An Integrated system for Quality Inspection of tiles." University of Surrey, Guilford, GU2-5XH, England, 1999.
[5] Yonghuai Liu and Macros Rodrigues, "A novel machine vision algorithm for a fast response quality control system." Department of Computer Science, the University of Hull, Hull, HU6 7RX, UK 2001.
[6] Martin Coulthard, "Measuring and Classifying Tile Shades." Chairman, Surface Inspection Ltd, Great Britain, Jan., 2001.
[7] Song K Y, Petrou M, and Kittler, "Texture crack detection." Machine Vision Applications, to appear Jan., 1995.
[8] Esko Herrala, "SIMON; Spectral Imaging for On line Sorting." Specim, Spectral Imaging Ltd., Finland, August 1998.
[9] Tony Lindeberg, "Edge Detection and Ridge Detection with Automatic Scale Selection." Department of Numerical Analysis and Computing Science, Royal Institute of Technology, International Journal of Computer Vision, S-10044 Stockholm, Sweden, Jan., 1996.
[10] Mark E. Lehr and Keh-Shin Li, "Template basis techniques to Pattern recognition." University of California Riverside, Department of Statistics Riverside, California, USA, Vol. 2825, 1996.
[11] Todd Reed and H. Wechsler, "Segmentation of textured images and gestalt organization using spatial / spatial-frequency representations." I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 1 Jan., 1990.
[12] W. Wen, and A. Xia, "Verifying Edges for visual Inspection Purposes." School of Mechanical and Manufacturing Engineering, School of Mathematics, The University of New South Wales, NSW 2052, Australia, July 1997.
[13] Simon Baker, "Design and Evaluation of Feature Detectors." Doctor of philosophy thesis in the Graduate School of Arts and Sciences, Columbia University, 1998.
[14] Richard Bridge, "Computer Image Processing." Tessella support services PLC, Oxon, England, Issue V1.R2.M0, June, 2003.