A new method for knitted fabric defect detection and classification using image analysis and neural networks is presented. Images of six different induced defects were obtained and used in the analysis. Statistical procedures and Fourier Transforms were utilized as two different approaches in the feature extraction effort and neural networks were used to detect and classify the defects. The results showed success in detection and classification of most defects especially when the Fourier transforms technique was utilized.
Ralló, M., Sagrario Millán, M., and Escofet, J., “Wavelet-based Techniques for Textile Inspection”, Grup d’Òptica Aplicada i Processament d'Imatge de la Universitat Politècnica de Catalunya, Terrassa, (Barcelona), 2002.
2.
Alam Eldin, A. T, “Computer Vision for Automated Inspection of Fabric Products”, Ph.D. Thesis, University of Wuppertal, Germany, 1988.
3.
Chin, R. T. and Harlow, C. A. , Automated Visual Inspection: A Survey , IEEE Trans. Pattern Anal. Machine Intell., 4(6), pp 557-573 (1982).
4.
Hashim, A. A. , Lefley, M. , and Spencer, D. , Automated Visual Inspection and Classification of Textile Materials and Garments , in “Computers in the World of Textiles. Annual World Conference,”Manchester, UK: Textile Institute, pp. 167-175 , 1984.
5.
Hormes I. and Wulfhorst, B., Erkennung der Störpartikel mit Hilfe der digitalen Bildverabeitung Intern. Text. Bull. 41 (1995), Garn-u. Flächenherst 2-12.
6.
Watanabe, A. , Konda, F. , and Kurosaki, S.-N. , Analysis of Blend Irregularity in Yarns using Image Processing, Part III: Evaluation of Blend Irregularity by Line Sense and its Application to Actual Blended Yarns , Textile Res. J.65(1), 392 (1995).
7.
Alam Eldin, A. T. and Nour Eldin, H. A. , Automated Visual Inspection of Web-Type Products using Unitary Transforms , in “Proc. 36th ISMM International Conference, Mini and Microcomputers and their Applications,” MIMI 88, Spain, 1988.
8.
Alam Eldin, A. T. and Nour Eldin, H. A. , Automated Visual Inspection of Uniformly Textured Flat Surfaces using Correlation Analysis , in “Proc. of the IASTED International Symposium on Applied Control, Filtering, and Signal Processing,”Switzerland, 1987.
9.
Clark, A. D. , Parui, S. K. , and Hashim, A. A. , Detection of Defects on Fabrics , IEE Colloquium on “Image Processing for Automated Inspection,” Digest No. 48. London, UK, April 1986.
10.
Jasper, W. J. and Potlapalli, H.Image Analysis of Mispicks in Woven Fabric , Textile Res. J.65(11), 683-692 (1995).
11.
Ribolzi, S. , Merckle, J. , Gresser, J. , and Exbrayat, P. E. , Real-Time Fault Detection on Textiles using Opto-Electronic Processing , Textile Res. J.63(2), 61-71 (1993).
12.
Shady, E., “A Computer Vision System for Automated Inspection of Fabrics”, Master Thesis, Mansoura University, Egypt, 1998.
13.
Soliman, H. H., “Theory and Applications of Hardware-Implemented algorithms”, Ph.D. Thesis, Mansoura University, Egypt, 1992.
14.
Tsai, I.-S. and Hu, M.-C. , Automatic Inspection of Fabric Defects using an Artificial Neural Network Technique , Textile Res. J, 66(7), 474-482 (1996).
15.
Tsai, I.-S. , Lin, C.-H. , and Lin, J.-J. , Applying an Artificial Neural Network to Pattern Recognition in Fabric Defects , Textile Res. J.65(3), 123-130 (1995).
16.
Xu, B. , Identifying Fabric Structures with Fast Fourier Transform Techniques , Textile Res. J.66(8), 496-506 (1996).
17.
Zhang, Y. F. and Bresee, R. R.Fabric Defect Detection and Classification using Image Analysis , Textile Res. J.65(1), 1-9 (1995).
18.
Jeon, B. S. , and Bae, J. H. , Automatic Recognition of Woven Fabric Patterns by an Artificial Neural Network , Textile Res. J.73(7), 645-650 (2003).
19.
Kuo, C.-F. J. and Su, T.-L. , Gray Relational Analysis for Recognizing Fabric Defects , Textile Res. J.73(5), 461-465 (2003).
20.
Abou-iiana, M. , Youssef, S. , Pastore, C. , and Gowayed, Y. , Assessing Structural Changes in Knits during Processing , Textile Res. J.73(6), 535-540 , (2003).
21.
Awcock, G. J. and Thomas, R. , “Applied Image Processing”, Macmillan, Basingstoke, U.K. , 1995.
22.
Fausett, L. , Fundamentals of Neural Network, Prentice Hall, Englewood Cliffs, NJ , 1994.
