To read the full version of this content please select one of the options below:

A System for Analysis, Categorisation and Grading of Fabric Defects using Computer Vision

S.N. Niles (Department of Textile & Clothing Technology, University of Moratuwa, Sri Lanka)
S. Fernando (Department of Textile & Clothing Technology, University of Moratuwa, Sri Lanka)
W.D.G. Lanerolle (Department of Textile & Clothing Technology, University of Moratuwa, Sri Lanka)

Research Journal of Textile and Apparel

ISSN: 1560-6074

Article publication date: 1 February 2015

107

Abstract

Inspection of fabrics is a major consideration in fabric manufacture, as well as in manufacture of garments and other fabric-based goods. In this research, a computer-based system for objective assessment of fabric defects was designed with emphasis placed on fabric defects occurring in the Sri Lankan industry. Image processing techniques were used to analyse scanned images of the test fabric, compare it with an ideal sample, and identify defects according to pre-learnt rules. The information gathered was then used to grade the fabric, either by determining the frequency of defect occurrence or assigning points.

A new classification method for common defects was designed, thereby facilitating grading according to commonly used grading systems. A coding system for defects was also designed to help report defects to the user. The fabric defects were classified and stored according to the developed classification method and coding system.

Keywords

Citation

Niles, S.N., Fernando, S. and Lanerolle, W.D.G. (2015), "A System for Analysis, Categorisation and Grading of Fabric Defects using Computer Vision", Research Journal of Textile and Apparel, Vol. 19 No. 1, pp. 59-64. https://doi.org/10.1108/RJTA-19-01-2015-B006

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015 Emerald Group Publishing Limited

Related articles