Automatic Construction of Digital Woven Fabric by Using Sequential Yarn Images

Open access

Abstract

In this article, a computerized method is proposed for simulating digital woven fabric (DWF) based on sequential yarn images captured from a moving yarn. A mathematical model of woven fabric structure is established by assuming that the crimped shape of yarns in weave structure is elastica, and the cross-sections of yarn in sequence image and fabric are circular and ellipse, respectively. The sequential yarn images, which are preprocessed and stitched first by image processing methods, are resized based on the mathematical model. Then a light intensity curve, which consists of radial curve model and axial curve model, is used to simulate the gray texture distribution of interlacing points in radial and axial directions. Finally, a Boole Matrix model is used to control the woven pattern. In the experiment, a slub yarn and a normal yarn samples with same count are applied to simulate gray texture fabrics. Then the gray fabrics are transformed to color fabrics based on three color maps. The fabric simulations are confined to single fabrics of plain, 2/2 matt, and 1/3 twill weaves.

[1] Liu J., Jiang H., Pan R., et al. (2012). Evaluation of yarn evenness in fabric based on image processing. Textile Research Journal, 82, 1026-1037.

[2] Carvalho V., Monteiro J.L., and Soares F.O., (2008). Yarn evenness parameters evaluation: A new approach. Textile Research Journal, 78, 119-120.

[3] Shaker K., Nawab Y., Javaid M.U., et al. (2015). Development of 3D Woven Fabric based Pressure Switch. Autex Research Journal, 15,148-152.

[4] Whitney T.J. and Chou T.W., (1989). Modeling of 3D angle interlock textile structural composites. Journal of Composite Materials, 23, 890.

[5] Suh M.W., Jasper W., and Cherkassky A., (2003). 3-D Electronic Imaging of Fabric Qualities by On-Line Yarn Data. “Annual Report”, Textile Center, PA, November.

[6] Adanur S. and Liao T., (1998). 3D modeling of textile composite preforms. Composites Part B Engineering, 29, 787-793.

[7] Turan R.B. and Başer G., (2010). Three-dimensional computer simulation of 2/2 twill woven fabric by using B-splines. Journal of the Textile Institute, 101, 870-881.

[8] Dash B.P., Behera B.K., Mishra R., et al. (2013). Modeling of internal geometry of 3D woven fabrics by computation method. Journal of the Textile Institute, 104, 312-321.

[9] Adanur S. and Vakalapudi J.S., (2013). Woven fabric design and analysis in 3D virtual reality. Part 1: computer aided design and modeling of interlaced structures. Journal of the Textile Institute, 104, 715-723.

[10] Chen X.G., (2011). Mathematical modelling of 3D woven fabrics for CAD/CAM software. Textile Research Journal, 81, 42-50.

[11] Özdemir H. and Başer G., (2008). Computer Simulation of Woven Fabric Appearances Based on Digital Video Camera Recordings of Moving Yarns. Textile Research Journal, 78, 152-153.

[12] Özdemir H. and Başer G., (2009). Computer simulation of plain woven fabric appearance from yarn photographs. Journal of the Textile Institute, 100, 282-292.

[13] Pan R., Zhu B., Li Z., et al. (2015). A simulation method of plain fabric texture for image analysis. Industria Textilă, 66, 28-31.

[14] Jasper W., Suh, M.W., and Woo, J.L., (2000). Real Time Characterization and Data Compression Using Wavelets, “Annual Report”, Textile Center, PA, November.

[15] Suh M.W. and Kim J., (1996). Fabric Image Simulation by Wavelet Analysis of Yarn Profiles, in “Proceedings of the 9th EFS System Research Forum”, Raleigh, NC, November.

[16] Suh M.W. and Kim J., (1997). Creation of Virtual Fabrics by Wavelet Analysis of Spun Yarn Density Signals, in “Proceedings of the 10th EFS System Research Forum”, Raleigh, NC, November.

[17] Moussa A., Dupont D., Steen D., et al. (2004). Modeling and Simulation of Woven Structure Using Fourier Transform, in “Proceedings of the World Textile Conference-4th AUTEX Conference, Roubaix, June”.

[18] Deng Z.M. and Wang L., (2010). Enhanced visualization of simulated woven fabrics. Fibers & Polymers, 11, 531-536.

[19] Adabala N., Thalmann N.M., and Fei G., (1995). Realtime Visualization of Woven Textiles. Journal of the Textile Institute, 86, 635-648.

[20] Pascal J., Giralt J., and Brunet P., (2003). An Interactive Package for the Computer-Aided Design of Woven Fabrics. Computers & Graphics, 10, 359-368.

[21] Moussa A., Dupont D., Steen D., et al. (2010). Structure analysis and surface simulation of woven fabrics using fast Fourier transform techniques, Journal of the Textile Institute, 101, 556-570.

[22] Özdemir H. and Başer G., (2006). Computer Simulation of Woven Fabric Defects Based on Faulty Yarn Photographs, in “Proceedings of the 21st International Symposium on Computer and Information Sciences-ISCIS’06”, Istanbul, November 2006, LNCS Vol. 4263, Springer, Berlin.

[23] Ozkaya Y.A., Acar M., and Jackson M.R., (2007). Hair density distribution profile to evaluate yarn hairiness and its application to fabric simulations. Journal of the Textile Institute, 98, 483-490.

[24] Peirce F.T., (1937). The Geometry of Cloth Structure. Journal of the Textile Institute, 28, T45.

[25] Pike M.C., (1965). Remark on algorithm 145 [d1]: adaptive numerical integration by Simpson’s rule. Communications of the ACM, 8, 171.

[26] Shang X., Xu S., and Chen Y., (2000). Mathematics Model and Realizing Method of Woven Fabric Structure Computer Simulation. Journal of Donghua University Natural Science.

[27] Sengupta M., (1990). Mine Environmental Engineering. CRC Press, 2, 62.

[28] Chen X., Knox R.T., McKenna D.F., et al. (1996). Automatic Generation of Weaves for the CAM of 2D and 3D Woven Textile Structures. Journal of the Textile Institute, 87, 357-358.

[29] Li, Z., Pan, R., Zhang, J., Li, B., Gao, W. and Bao, W., (2016). Measuring the unevenness of yarn apparent diameter from yarn sequence images. Measurement Science and Technology, 27, 015404.

[30] Li Z., Xiong N., Wang J., et al. (2017). An intelligent computer method for automatic mosaic of sequential slub yarn images based on image processing. Textile Research Journal, 004051751773208.

[31] Bouwmans T., (2011). Recent advanced statistical background modeling for foreground detection: a systematic survey. Recent Patents on Computer Science, 4, 147-176.

[32] Basal G. and Oxenham W., (2006). Effect of some parameters on the structure and properties of vortex spun yarn. Textile Research Journal, 76, 492-499.

[33] Brown M. and Lowe D., (2003). Recognising panorama. In: “Proceedings of international conference on computer vision, pp. 1218-1225”.

[34] Gonzalez R.C. and Woods R.E., (2006). Digital Image Processing (3rd Edition). Prentice-Hall, Inc.

Autex Research Journal

The Journal of Association of Universities for Textiles (AUTEX)

Journal Information


IMPACT FACTOR 2017: 0.957
5-year IMPACT FACTOR: 1.027

CiteScore 2017: 1.18

SCImago Journal Rank (SJR) 2017: 0.448
Source Normalized Impact per Paper (SNIP) 2017: 1.465

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 33 33 9
PDF Downloads 31 31 8