Comparative Analysis of Different Fabric Defects Detection Techniques
Автор: Ali Javed, Mirza Ahsan Ullah, Aziz-ur-Rehman
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 1 vol.5, 2013 года.
Бесплатный доступ
In last few years’ different textile companies aim to produce the quality fabrics. Major loss of any textile oriented company occurs due to defective fabrics. So the detection of faulty fabrics plays an important role in the success of any company. Till now most of the inspection is done using human visual. This way is too much time consuming, cumbersome and prone to human errors. In past, many advances are made in developing automated and computerized systems to reduce cost and time whereas, increasing the efficiency of the process. This paper aims at comparing some of these techniques on the basis of classification methods and accuracy.
Machine Learning, Computer Vision, multi-layer neural networks, 3D analysis, Novelty Detection, Texture Analysis
Короткий адрес: https://sciup.org/15012522
IDR: 15012522
Список литературы Comparative Analysis of Different Fabric Defects Detection Techniques
- Chin R. T. and Harlow C. A.,”Automated visual inspection ” IEEE Trans .Pattern Anal. Machine Intell., 4(6), 557-573, 1982.
- Smith, M.L., Stamp, R.J., "Automated inspection of textured ceramic tiles", Computers in Industry, Vol. 43 No.1, pp.73-82, 2000.
- Sengottuvelan P., Wahi A. and Shanmugam A.,“Automatic Fault analysis of Textile fabric Using. Imaging Systems”, Research Journal of Applied Sciences, 3(1), pp 26-31, 2008.
- K. Srinivasan, P. H. Dastor, P. Radhakrishnaihan, and S. Jayaraman, "FDAS: A knowledge-based frame detection work for analysis of defects in woven textile structures," Journal of Textile Institute, vol. 83, no. 3, pp. 431-447, 1992.
- Nickolay B. N. and Schmalfub H.,” Automatic Textile Inspection”, Study for the Textile Industry, vol. 73, 33-37, 1993.
- Hao Liu and Jiuqiang Han, "Defect Detection in Textiles Using Optimal Gabor Wavelet Filter". Proceedings of the 6th World Congress on Intelligent Control and Automation, 10005-10007, 2006.
- Lianping Chen, Guojun Lu and Dengsheng Zhang, “Effects of different Gabor filters parameters on image retrieval by texture,” Multimedia Modelling Conference, pp. 273 – 278, 2004.
- K. Fukunaga. “Statistical Pattern Recognition.”, Academic,New York, 2nd edition, 1990.
- Hamid Alimohamadi, Alireza Ahmadyfard and Esmaeil shojaee, “Defect Detection in Textiles Using Morphological Analysis of Optimal Gabor Wavelet Filter Response”, International Conference on Computer and Automation Engineering, 2009.
- Wang T., Li H., Li Z., Wang Z., “A Fast Parameter Estimation of Generalized Gaussian Distribution”, 8th International Conference on Signal Processing, 2006.
- Bashar, M. K., Ohnishi, N., Matsumoto, T., Takeuchi, Y., Kudo, H., Agusa, K., “Image Retrieval by Pattern Categorization using Wavelet Domain Perceptual Features with LVQ Neural Network”, Pattern Recognition Letters, Elsevier Ltd. , UK, 26, pp. 2315-1335, 2006.
- Wouwer G. V., Scheunders P., Dyck D. V., “Statistical Texture Characterization from Discrete Wavelet Representation”, IEEE Transactions on Image Processing, IEEE Signal Processing Society, USA, 8, pp. 592-598, 1999.
- Jianli Liu and Baoqi Zuo, “The Recognition of Fabric Defects Using Wavelet Texture Analysis and LVQ Neural Network”, 2nd International Congress on Image and Signal Processing, 2009.
- R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing using MATLAB”, ISBN 81-297-0515-X, pp. 76-104,142-166,404-407, 2005.
- Atiqul Islam, Shamim Akhter, and Tumnun E. Mursalin , “Automated Textile Defect Recognition System Using Computer Vision and Artificial Neural Networks” , World Academy of Science, Engineering and Technology , 2006.
- ASTM, D 3511-76, “Standard Test Method for Pilling Resistance and Other Related Surface Changes in Textile Fabrics”, Brush Pilling Tester Method.
- ASTM, D 3511-76, “Standard Test Method for Pilling Resistance and Other Related Surface Changes in Textile Fabrics”, Random Tumble Pilling Tester Method.
- Dariush Semnani, Hossein Ghayoor , “Detecting and Measuring Fabric Pills Using Digital Image Analysis” , World Academy of Science, Engineering and Technology 49, 2009.
