Texture Defect Detection Using Gabor Filters

Abstract:

Article Preview

This paper aims at investigating a method for tackling the problem of automated fabric defect detection. A new scheme for defect detection using Gabor filters was proposed. In the experiment, texture features is extracted using Gabor filters. The proposed method would automatically segment defects from the regular texture. The experimental results showed the effectiveness of the proposed detection scheme.

Info:

Periodical:

Edited by:

Mohamed Othman

Pages:

1176-1179

Citation:

P. F. Li et al., "Texture Defect Detection Using Gabor Filters", Applied Mechanics and Materials, Vols. 229-231, pp. 1176-1179, 2012

Online since:

November 2012

Export:

Price:

$38.00

[1] Barco Company. Cyclops[EB/OL], (2009-02-19).

[2] Meier R, Leuenberger R. Uster fabric quality automatic defect detection system[J]. China Textile Leader. Vol. 2 (1999), p.41-p.42.

[3] EVS Corporation. IQ-TEX Introduction[EB/OL]. http: /www. evs-sm. com/home/evs/IQ-TEX. aspx.

[4] Habib H. A, Yousaf M. H and Mohibullah M. Modified Laws energy descriptor for Inspection of ceramic tiles[J]. National Conference on Emerging Technologies. Vol. 34(5) (2004), p.137- p.140.

[5] J. G. Campbell, C. Fraley, F. Murtagh. A. E. Raftery. Linear flaw detection in woven textiles using model-based clustering[J]. Pattern Recogn. Lett. 18 (1997), p.1539-p.1548.

DOI: https://doi.org/10.1016/s0167-8655(97)00148-7

[6] Y.F. Zhang, R.R. Bresee. Fabric defect detection and classification using image analysis[J]. Text. Res. J. 65 (1995), p.1–p.9.

[7] Kumar, A, G. K. H. Pang. Defect detection in textured materials using Gabor filters[J]. Industry Applications, IEEE Transactions. Vol. 38(2) (2002), p.425-p.440.

DOI: https://doi.org/10.1109/28.993164

[8] K.L. Mak, P. Peng. An automated inspection system for textile fabrics based on Gabor filters[J]. Robotics and Computer-Integrated Manufacturing. Vol. 24(3) (2008), p.359-p.369.

DOI: https://doi.org/10.1016/j.rcim.2007.02.019