Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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Analysis of Image Similarity Index of Woven Fabrics and Virtual Fabrics - Application of Textile Design CAD System and Shuttle Loom -

직물과 가상소재의 화상 유사성 분석 연구 - 수직기 및 텍스타일 CAD시스템 활용 -

  • Yoon, Jung-Won (Dept. of Clothing and Textiles, Ewha Womans University) ;
  • Kim, Jong-Jun (Dept. of Clothing and Textiles, Ewha Womans University)
  • 윤정원 (이화여자대학교 의류학과) ;
  • 김종준 (이화여자대학교 의류학과)
  • Received : 2013.10.10
  • Accepted : 2013.11.09
  • Published : 2013.12.31
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Abstract

Current global textiles and fashion industries have gradually shifted focus to high value-added, high sensibility, and multi-functional products based on new human-friendliness and sustainable growth technologies. Textile design CAD systems have been developed in conjunction with computer hardware and software sector advances. This study compares the patterns or images of actual woven fabrics and virtual fabrics prepared with a textile design CAD system. In this study, several weave structures (such as fancy yarn weave and patterns) were prepared with a shuttle loom. The woven textile images were taken using a CCD camera. The same weave structure data and yarn data were fed into a textile design CAD system in order to simulate fabric images as similarly as possible. Similarity Index analysis methods allowed for an analysis of the index between the actual fabric specimen and the simulated image of the corresponding fabric. The results showed that repeated small pattern weaves provide superior similarity index values than those of a fancy yarn weave that indicate some irregularities due to fancy yarn attributes. A Complex Wavelet Structural Similarity(CW-SSIM) index resulted in a better index than other methods such as Multi-Scale(MS) SSIM, and Feature Similarity(FS) SSIM, across fabric specimen images. A correlation analysis of the similarity index based on an image analysis and a similarity evaluation by panel members was also implemented.

Keywords

References

  1. Brooks, A. (2006). Complex wavelet domain structural similarity metric in Matlab code. Retrieved May 18, 2011, from http://dailyburrito.com/projects/cssim_index_multi.m
  2. Choi, K. J., & Ko, H. S. (2005). Research problems in clothing simulation. Computer-Aided Design, 37(3), 585-592. https://doi.org/10.1016/j.cad.2004.11.002
  3. Choi, K. M., & Kim, J. J. (2009). A study on the design and appearance characteristics of dobby and fancy yarn fabrics using a textile CAD system. Journal of Korean Traditional Costume, 12(3), 23-36.
  4. Choi, K. M., & Kim, J. J. (2011). A study on the color functions of the textile design system based on CAD using image analysis methods. Journal of Fashion Business, 15(4), 43-54.
  5. Choi, K. M., Choi, E. M., & Byun, Y. S. (2007). Functions and characteristics of design CAD systems. Fashion Information and Technology, 4(1), 8-17.
  6. Data Translation. (2006, March 3). Global Lab Image/2 Instruction Manual. Retrieved April 17, 2006, from http://ftp.datx.com/Public/Web/Docs/GLI2/GLIRTF.pdf
  7. Firstview Korea. (2011, January 24). 2011 F/W fabric trend. Retrieved March 9, 2011, from http://firstviewkorea.com/Main.aspx
  8. Hirayama, H., Kaneda, K., Yamashita, H., & Monden, Y. (2000). An accurate Illumination Model for Objects coated with multilayer films. Proceedings Eurographics 2000 Short Presentations, pp. 143-150.
  9. Kim, T. G., Park, S. J., Park, J. W., Suh, C. Y., & Choi, S. A. (2012). Technical design of tight upper sportswear based on 3D scanning technology and stretch property of knitted fabric. Journal of the Korean Society for Clothing Industry, 14(1), 277-285. https://doi.org/10.5805/KSCI.2012.14.2.277
  10. Lim, H. S. (2012). Analysis of utilization of virtual try on simulation and consumers' preference in apparel online shopping. Journal of the Korean Society for Clothing Industry, 14(1), 83-89. https://doi.org/10.5805/KSCI.2012.14.1.083
  11. Mallat, S. G. (1989). A theory for multi-resolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 674-693. https://doi.org/10.1109/34.192463
  12. NIH(National Institute of Health). (2011, June 4). ImageJ Instruction Manual. Retrieved June 23, 2011, from http://rsb.info.nih.gov/ij/index.html
  13. Ryu, S. H., Choi, J. M., & Byun, Y. S. (2007). Application examples of design CAD system in the fashion and textile industries. Fashion Information and Technology, 4(1), 18-24.
  14. Sadeghi, I. (2007). A physically based anisotropic iridescence model for rendering morpho butterflies photo-realistically. Project report for advanced appearance modeling course CSE272 Fall 2007, UCSD.
  15. Sampat, M. P., Wang, Z., Gupta, S., Bovik, A. C., & Markey, M. K. (2009). Complex wavelet structural similarity: a new image similarity index. IEEE Transactions on Image Processing, 18(11), 2385-2400. https://doi.org/10.1109/TIP.2009.2025923
  16. Sohn, H. S., Kim, J. J., Choi, J. I., Kim, S. J., & Choi, K. M. (2012). Computer Fashion Design (2nd ed.). Seoul: Kyohak-Yonkusa.
  17. Starck, J. L., Murtagh, F., & Bijaoui, A. (1998). Image processing and data analysis, the multi-scale approach. London: Cambridge University Press.
  18. Wang, Z., Simoncelli, E. P., & Bovik, A. C. (2003). Multi-scale structural similarity for image quality assessment. Proceedings of 37th IEEE Asilomar Conference on Signals, Systems and Computers (pp. 1-5). Pacific Grove, California, U.S.A.
  19. Wang, Z., & Bovik, A. C. (2009). Mean squared error: love it or leave it. IEEE Signal Processing Magazine, 26(1), 98-117.
  20. Youngwoo CNI. (2012, January 21). TexPro Instruction Manual. Retrived February 12, 2012, from http://www.texclub.com/english/html/product/product02.php
  21. Yoon, J. W., & Kim, J. J. (2012). A study on the design of textile fabrics using a textile CAD system and the analysis of image similarity index. Proceedings of the Korean Society for Clothing Industry, Fall Conference, Korea, pp. 293-296.
  22. Zhang, L., Zhang, Lei, Mou, X., & Zhang, D. (2011). FSIM: A feature similarity index for image quality assessment. IEEE Trans. Image Processing, 20(8), 2378-2386. https://doi.org/10.1109/TIP.2011.2109730