The week's pick
Reseach Article
Back Propagation Neural Network for Defect Detection of Woven Fabrics
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 1 |
| Year of Publication: 2014 |
| Authors: Gnanaprakash. V, Sathishkumar. N, Finney Daniel Shadrach S |
10.5120/14948-3061
|
Gnanaprakash. V, Sathishkumar. N, Finney Daniel Shadrach S . Back Propagation Neural Network for Defect Detection of Woven Fabrics. International Journal of Computer Applications. 86, 1 ( January 2014), 11-14. DOI=10.5120/14948-3061
Abstract
Fabric defect detection plays a very important role for the automatic detection in fabrics. In this paper, fabric texture feature is extracted using Grey Level Co-occurrence Matrix (GLCM). The Co-occurrence matrices functions characterize the texture of an image by calculating how often pairs of pixel with specific values and in a specified spatial relationship occur in an image, and then extracting statistical measures from this matrix. The extracted features from GLCM are used to classify the texture by Back Propagation Neural Network to compare their effectiveness.
References
- Dr. Mohamed Mansoor Roomi, S. Saranya, "Bayesian classification of fabrics using binary co-occurrence matrix", International Journal of Information Sciences and Techniques (IJIST) Vol. 2, No. 2, March 2012.
- Te-Li Su, Hua-Wei Chen, Gui-Bing Hong, Chih-Ming Ma, "Automatic inspection system for defects classification of Stretch knitted fabrics", international conference on wavelet analysis and pattern recognition, qingdao, 11-14 july 2010.
- Yassine Ben Salem, Salem Nasri, "Texture classification of woven fabric based on a glcm Method and using multiclass support vector machine", 6th international multi conference on systems, signals and devices,2009.
- Chung-Feng Jeffrey Kuo and Ching-Jeng Lee, "A Back-Propagation Neural Network for Recognizing FabricDefects" Textile Research Journal 2003; 73; 147, Feb 2003.
- B. S. Jeon, J. H. Bae, and M. W. Suh, "Automatic recognition of woven fabric patterns by an artificial neural network," Textile Res. J. , vol. 73, no. 7, pp. 645–650, Jul. 2003.
- C. F. J. Kuo and C. C. Tsai, "Automatic recognition of fabric nature by using the approach of texture analysis," Textile Res. J. , vol. 76, no. 5, pp. 375–382, May 2006.
- C. F. J. Kuo, C. Y. Shih, and J. Y. Lee, "Automatic recognition of fabric weave patterns by a fuzzy C-means clustering method," Textile Res. J. , vol. 74, no. 2, pp. 107–111, Feb. 2004.
- Maria Petrou, Pedro Garcia Sevilla, "Image processing dealing with Texture",Tata McGraw Hill publications, 3rd edition.
- Xin Wang, Nicolas D. Georganas, Life Fellow, IEEE, and Emil M. Petriu, Fellow, IEEE, "Fabric Texture Analysis Using Computer vision techniques" IEEE transactions on instrumentation and measurement, vol. 60, no. 1, january 2011.
- Rafeal C. Gonzalez, "Digital image processing" Pearson Publications , 2nd Edition, 2004
Index Terms
Keywords