Abstract
This paper presents real-time fabric defect detection based in intelligent techniques. Neural networks (NN), fuzzy modeling (FM) based on product-space fuzzy clustering and adaptive network based fuzzy inference system (ANFIS) were used to obtain a clearly classification for defect detection. Their implementation requires thresholding its output, and based in previous studies a confusion matrix based optimization is used to obtain the threshold. Experimental results for real fabric defect detection were obtained from the experimental apparatus presented in the paper, that showed the usefulness of the three intelligent techniques, although the NN has a faster performance. Online implementation of the algorithms showed they can be easily implemented with commonly available resources and may be adapted to industrial applications without great effort.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mitropoulos, P., Koulamas, C., Stojanovic, R., Koubias, S., Papadopoulos, G., Karagiannis, G.: A real-time vision system for defect detection and neural classification of web textile fabric. In: Proccedings of the SPIE Electronic Imaging. Machine Vision Applications in Industrial Inspection VII, vol. 3652, pp. 59–69 (1999)
Chan, C., Pang, G.K.H.: Fabric defect detection by fourier analysis. IEEE Transactions on Industry Applications 36(5), 1267–1276 (2000)
Tuceryan, M., Jain, A.K.: Texture analysis. In: Handbook of pattern recognition & computer vision, pp. 235–276. World Scientific Publishing Co., Inc., River Edge, NJ (1993)
Stojanovic, R., Mitropulos, P.: Automated detection and neural classification of local defects in textile web (Conf. Publ. No. 465). In: IPA 1999. Proceedings of the IEE 7th Internanional Conference on Image Processing and its Applications, Manchester, 1999, vol. 2, pp. 647–651 (1999)
Karayiannis, G., Stojanovic, R., Mitropoulos, P., Koulamas, C., Stouraitis, T., Koubias, S., Papadopoulos, G.: Defect detection and classification on web textile fabric using multiresolution decomposition and neural networks. In: Proceedings on the 6th IEEE International Conference on Electronics, Circuits and Systems, pp. 765–768. IEEE Computer Society Press, Los Alamitos (1999)
Stojanovic, R., Mitropulos, P., Koulamas, C., Karayiannis, Y., Koubias, S., Papadopoulos, G.: Real-time vision-based system for textile fabric inspection. Real-Time Imaging 7(6), 507–518 (2001)
Kumar, A., Pang, G.K.H.: Defect detection in textured materials using gabor filters. IEEE Transactions on Industry Applications 38(2), 425–440 (2002)
Kumar, A., Pang, G.K.H.: Defect detection in textured materials using optimized filters. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics 35(5), 553–570 (2002)
Randen, T., Husøy, J.H.: Filtering for texture classification: A comparative study. IEEE Transactions on Pattern Analysis and Machine Inteligence 21(4), 291–310 (1999)
Sobral, J.L.: Leather inspection based on wavelets. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3523, p. 682. Springer, Heidelberg (2005)
Kumar, A.: Neural network based detection of local textile defects. Pattern Recognition Letters 36(7), 1645–1659 (2003)
Sari-Sarraf, H., Goddard, J.S.: Vision system for on-loom fabric inspection. IEEE Transactions Industry Applications 35(6), 1252–1259 (1999)
Karras, D.A., Karkanis, S.A., Mertzios, B.G.: Supervised and unsupervised neural network methods applied to textile quality control based on improved wavelet feature extraction techniques. International Journal of Computer Mathematics 67(1), 169–181 (1998)
Castilho, H.P., Pinto, J.R.C., Serafim, A.L.: N.N. automated defect detection based on optimized thresholding. In: Campilho, A., Kamel, M. (eds.) ICIAR 2006. LNCS, vol. 4142, pp. 790–801. Springer, Heidelberg (2006)
Gonçalves, P.S., Paris, A., Christo, C., Sousa, J., Pinto, J.C.: Uncalibrated visual servoing in 3d workspace. In: Campilho, A., Kamel, M. (eds.) ICIAR 2006. LNCS, vol. 4142, pp. 225–236. Springer, Heidelberg (2006)
Sousa, J., Kaymak, U.: Fuzzy Decision Making in Modeling and Control. World Scientific Pub. Co., Singapore (2002)
Gustafson, D.E., Kessel, W.C.: Fuzzy clustering with a fuzzy covariance matrix. In: Proceedings IEEE CDC, San Diego, pp. 761–766. IEEE Computer Society Press, Los Alamitos (1979)
Jang, J.-S.R.: Anfis: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 3(23), 665–685 (1993)
Matrox: Matrox Imaging Library User Guide. 6.1 edn. (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Castilho, H.P., Gonçalves, P.J.S., Pinto, J.R.C., Serafim, A.L. (2007). Intelligent Real-Time Fabric Defect Detection. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_115
Download citation
DOI: https://doi.org/10.1007/978-3-540-74260-9_115
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
eBook Packages: Computer ScienceComputer Science (R0)