Sage Journals: Discover world-class research

Abstract

A fabric defect image is characterized by its prirmitive properties as well as the spatial relationships between them. A gray level co-occurrence can be specified in a matrix of the relative frequencies with which two neighboring pixels separated by a distance occur on the image. By applying the co-occurrence matrix and gray relational analysis of the gray theory, we can extract characteristic values of a fabric defect image and classify defects to recognize common problems, including broken warps, broken wefts, holes, and oil stains. Gray relational analysis is also used to investigate correlations of the analyzed factors among the selected characteristic indicators in a randomized factor sequence through data processing. By justifying the most correlated defects, recognition accuracy can reach 94%.

Get full access to this article

View all access options for this article.

References

Ahang, J. , and Shunichiro, O. , Texture Image Segmentation Method Based on Wavelet Transform and Neural , in "Proc. 1998 IEEE International Conference on Systems, Man, and Cybernetics, Part 5," 1998, pp. 4595-4600.

Barrett, G.R. , Clapp, T.G. , and Titus, K.J. , An On-Line Fabric Classification Technique Using a Wavelet-Based Neural Network Approach , Textile Res. J. 66(8), 521-528 ( 1996).

Cao, J. , and Hu, W.Y. , "Grey System: Theory and Practice," Northeastern Forestry University , Harbin City, P.R.C., 1993.

Chen, P.W. , Liang, T.C. , Yau, H.F. , Sun, W.L. , Wang, N.C. , Lin, H.C. , and Lien, R.C. , Classifying Textile Faults with a Back-Propagation Neural Network Using Power Spectra, Textile Res. J. 68(2), 121-126 (1998).

Deng, J.L. , Introduction to Grey Systems Theory, J. Grey System 1(1), 49-54 (1989).

Deng, J.L. , Grey

Informational Spaces, J. Grey

System 2(1), 103-117 (1989).

Haralick, R.M. , Statistical and Structural Approaches to Texture, Proc. IEEE 67(5), 786-804 (1979).

Haralick, R. , and Shapiro, L. , "Computer and Robot Vision ." Addision-Wesley. NY, 1992.

Hong, G. , Identification Coefficient of Relational Grade of Grey Systems. Fuzzy Math. 2, 55-58 (1985).

10.

Hu, M.C. , and Tsai, I.S. , Fabric Inspection Based on Best Wavelet Packet Bases. Textile Res. J. 70(8), 662-670 (2000).

11.

Sapina, R. , Computing Textural Features Based on Co-occurrence Matrix for Infrared Images . "Proc. 2nd International Symposium on Image and Signal Processing and Analysis" 2001, pp. 373-376.

12.

Shi, K.Q. , "Grey Relation Theory and its Applications," IEEE Press, MD, 1990, pp. 404-408.

13.

Shiau, Y.R. , Tsai, I.S. , and Lin, C.S. , Classifying Web Defects with a Back-Propagation Neural Network by Color Image Processing, Textile Res. J. 70(7), 633-640 (2000).

Gray Relational Analysis for Recognizing Fabric Defects

Abstract

Get full access to this article

References