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Detecting Defects in Textile Fabrics with Optimal Gabor Filters

Authors: K. L. Mak, P. Peng

Abstract:

This paper investigates the problem of automated defect detection for textile fabrics and proposes a new optimal filter design method to solve this problem. Gabor Wavelet Network (GWN) is chosen as the major technique to extract the texture features from textile fabrics. Based on the features extracted, an optimal Gabor filter can be designed. In view of this optimal filter, a new semi-supervised defect detection scheme is proposed, which consists of one real-valued Gabor filter and one smoothing filter. The performance of the scheme is evaluated by using an offline test database with 78 homogeneous textile images. The test results exhibit accurate defect detection with low false alarm, thus showing the effectiveness and robustness of the proposed scheme. To evaluate the detection scheme comprehensively, a prototyped detection system is developed to conduct a real time test. The experiment results obtained confirm the efficiency and effectiveness of the proposed detection scheme.

Keywords: Defect detection, Filtering, Gabor function, Gaborwavelet networks, Textile fabrics.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079996

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References:


[1] K. Srinivasan, P. H. Dastoor, P. Radhakrishnaiah, and S. Jayaraman, "FDAS: A knowledge-based framework for analysis of defects in woven textile structures", J. Textile Inst., pt. 1, vol. 83, no. 3, pp. 431-448, 1992.
[2] H. Sari-Sarraf and J. S. Goddard, "Vision systems for on-loom fabric inspection", IEEE Trans. Ind. Appl., vol. 35, pp. 1252-1259, Nov-Dec, 1999.
[3] J. Wang, R.A. Campbell, and R.J. Harwood, "Automated inspection of carpets", in Proc. SPIE, vol. 2345, 1995, pp. 180-191.
[4] J. Escofet, R. Navarro, M. S. Millan, and J. Pladelloreans, "Detection of local defects in textiles webs using Gabor filters", Opt. Eng., vol. 37, pp. 2297-2307, Aug. 1998.
[5] A. Kumar and G. Pang, "Fabric defect segmentation using multichannel blob defectors", Opt. Eng., vol. 39, no.12, pp. 3176-3190, 2000.
[6] A. Kumar and G.K.H. Pang, "Defect detection in textured materials using Gabor filters", IEEE Trans. Ind. Appl., vol. 38, no.2, pp. 425-440, 2002.
[7] A. Bodnarova, M. Bennamoun and S. Latham, "Optimal Gabor filters for textile flaw detection", Pattern Recognition, vol. 35, pp. 2973-2991, 2002.
[8] P. Vautrot, N. Bonnet and M. Herbin, "Comparative study of different spatial/spatial-frequency methods (Gabor filters, wavelets, wavelets packets) for texture segmentation/classification", in Proceedings of the 1996 IEEE Inter. Conf. Image Processing, ICIP-96, vol. 3, 1996, pp. 145-148.
[9] A. Teuner, O. Pichler and B.J. Hosticka, "Unsupervised texture segmentation of images using tuned matched Gabor fitlers", IEEE Trans. Image Processing, vol. 4, no. 6, pp. 863-870, 1995.
[10] D. Casasent and J.S. Smokelin, "Neural net design of macro Gabor wavelet filters for distortion-invariant object detection in clutter", Opt. Eng., vol. 33, no. 7, pp. 2264-2271, 1994.
[11] R. Mehrotra, K.R. Namuduri, and N. Ranganathan, "Gabor Filter-Based Edge Detection", Pattern Recognition, vol. 25, no. 12, pp. 1479-1494, 1992.
[12] Qinghua Zhang and Albert Benveniste, "Wavelet networks", IEEE transactions on Neural Networks, vol. 3, no. 6, pp. 889-898, November 1992.
[13] V. Krueger and G. Sommer, "Gabor wavelet networks for object representation", DAGM Symposium, Germany, September 2000, pp. 13-15.
[14] Volker Kruger and Gerald Sommer, "Gabor wavelet networks for efficient heard pose estimation", Image and vision computing, vol. 20, pp. 665-672, 2002.
[15] V. Krueger, "Gabor wavelet networks for object representation", Ph.D thesis, Christian Albrechts University, Germany, 2001.
[16] Rogerio S. Feris and Roberto M. Cesar Junior, "Tracking facial features using Gabor wavelet networks", Computer graphics and image proceeding, proceedings XII Brazalian Symposium on, 2000, pp. 22-27.
[17] K. L. Mak and P. Peng, "Defect Detection in Textile Fabrics Using Gabor Wavelet Networks", 18th International Conference on Computer Applications in Industry and Engineering, Hawaii, USA, November 9-11, 2005, pp. 226-231.
[18] H. Sari-Sarraf, J.S. Goddard, "Vision systems for on-loom fabric inspection", IEEE Trans. Ind. Appl., vol. 35, pp. 1252-1259, 1999.
[19] A.K. Jain and K. Karu, "Learning texture discrimination masks", IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, pp. 195-205, 1996.
[20] A.K. Jain and F. Furrokhnia, "Unsupervised texture segmentation using Gabor filters", Pattern Recognition, vol. 23, pp. 1167-1186, 1991.