A novel approach of ceramic tile crack detection using morphological operations

  • Mahzaib Younas Department of Computer Science, University of Agriculture, Faisalabad Pakistan
  • Qamar Nawaz Department of Computer Science, University of Agriculture, Faisalabad Pakistan
  • Isma Hamid Department of Computer Science, National Textile University, Faisalabad Pakistan
  • Syed Mushhad Mustuzhar Gilani University Institute of Information Technology, PMAS, Arid Agriculture University, Rawalpindi Pakistan
  • M. Javed Iqbal Department of Software Engineering, University of Engineering and Technology Taxila, Pakistan

Abstract

In ceramic tiles manufacturing industry, tiles are manufactured at large scale which makes it more challenging to ensure the quality of each tile according to the set standards. Mostly, Statistical Process Control (SPC) is used by tile manufacturers at each step to monitor various processing parameters. SPC procedures are implemented manually that requires sufficient number of experienced human resource to identify defected tiles from a batch of tiles. The manual inspection also gives low accuracy of defect detection due to human errors and hard environment. Considering these drawbacks, in this paper an automated defect detection method is proposed which is based on image processing and morphological operation to ensure the quality and standard of tiles. The proposed method resizes and converts the input RGB image into grayscale image and removes any possible noisy artifacts. An edge detection algorithm is applied on grayscale image to enhance the edges representing the cracks. Afterwards, morphological erosion and dilation operations are applied, one at a time, to get two intermediate images. Finally, edges are detected by subtracting eroded intermediate image from dilated intermediate image. For detection, the proposed algorithm does not require any separate reference image. The algorithm is tested on an image set of sixty different defected tile images and attained 92% average detection accuracy.

Published
Apr 1, 2022
How to Cite
YOUNAS, Mahzaib et al. A novel approach of ceramic tile crack detection using morphological operations. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 41, n. 2, p. 146-154, apr. 2022. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2452>. Date accessed: 15 aug. 2022. doi: http://dx.doi.org/10.22581/muet1982.2202.14.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License