|
|
Skew Detection and Yarns Density Calculation for Woven Fabric
|
School of Electronics and Information, Xi'an Polytechnic University, Xi'an 710048, China
|
|
|
Abstract Automatic identification of fabric structure is a vital research according to the fabric texture. Due to
the skewed phenomenon which is inevitable during the scanning process, Hough transform is utilized for
skew detection. Then wavelet filter is proposed to separate warps from wefts to enhance the information
in vertical and horizontal direction, respectively. Finally, the gray projection curve including peaks and
valleys is obtained in warp and weft directions. According to the peaks, the yarns can be located and
segmented apparently and the fabric density could be obtained. Experimental results show that the
precision of skew detection could be controlled within 2 while the accuracy of yarns density detection
can reach up to 100%, which demonstrate that the proposed method is effective in skew detection and
fabric density calculation.
|
|
|
|
|
Cite this article: |
Junfeng Jing,Shan Liu,Lei Zhang, et al. Skew Detection and Yarns Density Calculation for Woven Fabric
[J]. Journal of Fiber Bioengineering and Informatics, 2014, 7(4): 615-625.
|
|
[1] Sha SX, Chen Y, Liu XY. Finite-element simulation of kevlar yarns and fabrics in assessing its me-
chanical protective performance under projectile impact loading. Journal of Fiber Bioengineering
and Informatics, 2010; 3(2): 111-116.
[2] Xu BG. Identifying fabric structures with fast fourier transform techniques. Textile Research Jour-
nal, 1996; 66(8): 496-506.
[3] Qin Y, Xu F. Analysis and research of the fabric density based on the wavelet transform //Com-
putational Intelligence and Design (ISCID), 2012 Fifth International Symposium on. IEEE, 2012;
1: 197-200.
[4] Xin BJ, Xu YF, Wu Z. Automatic measurement of the yarn density of woven fabric. Journal of
China Textile University, 1999; 25(3): 34-37.
[5] Lin JJ. Applying a co-occurrence matrix to automatic inspection of weaving density for woven
fabrics. Textile Research Journal, 2002; 72(6): 486-490.
[6] Wang X, Li X. Recognition of fabric density with quadratic local extremum. International Journal
of Clothing Science and Technology, 2012; 24(5): 328-338.
[7] Zheng DJ, Han Y, Hu JL. A new method for classi¯cation of woven structure for yarn-dyed fabric.
Textile Research Journal, 2013.
J. Jing et al. / Journal of Fiber Bioengineering and Informatics 7:4 (2014) 615-625 625
[8] Pan RR, Gao WD. High-precision identification of woven fabric density via image processing.
Journal of Textile Research, 2008; 29(11): 128-131.
[9] Ajallouian F, Tavanai H, Palhang M, et al. A novel method for the identification of weave repeat
through image processing. The Journal of The Textile Institute, 2009; 100(3): 195-206.
[10] Huang CC, Liu SC, Yu WH. Woven fabric analysis by image processing Part I: identification of
weave patterns. Textile Research Journal, 2000; 70(6): 481-485.
[11] Xin B, Hu J, Baciu G, et al. Investigation on the classification of weave pattern based on an active
grid model. Textile Research Journal, 2009; 79(12): 1123-1134.
[12] Pan RR, Gao WD, Liu JH, et al. Automatic detection of structure parameters of yarn-dyed fabric.
Textile Research Journal, 2010; 80(17): 1819-1832.
[13] Wang X, Georganas ND, Petriu EM. Fabric texture analysis using computer vision techniques.
Instrumentation and Measurement, IEEE Transactions on, 2011; 60(1): 44-56.
[14] Pan RR, Gao WD, Liu JH, et al. Automatic inspection of woven fabric density of solid colour
fabric density by the hough transform. Fibres & Textiles in Eastern Europe, 2010; 4(81): 46-51.
[15] Pan RR, Gao WD, Liu JH, et al. Automatic location of woven fabric crossing point via hough
transform. Journal of Textile Reseach, 2010; 31(3): 59-62.
[16] Wu H, Zhang M, Pan Z. Skew detection and weft density identification for fabric images. Journal
of Image and Graphics, 2006; 11(5): 640-644.
[17] Jing JF, Liu S, Li PF, et al. Automatic density detection of woven fabrics via wavelet transform.
Journal of Information and Computational Science, 2014; 11(8): 2559-2568.
[18] Feng YL. Automatic measurement of weave count with wavelet transform. Journal of Textile
Research, 2001; 22(2): 30-31. |
|
|
|