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http://dx.doi.org/10.5850/JKSCT.2019.43.3.373

Visual Color Mixing Effect of Yarns in Textile Fabrics  

Chae, Youngjoo (Division of Physical Metrology, Korea Research Institute of Standards and Science (KRISS))
Publication Information
Journal of the Korean Society of Clothing and Textiles / v.43, no.3, 2019 , pp. 373-383 More about this Journal
Abstract
This research investigated the effect of individual yarn colors on the perception of overall colors of yarn-dyed woven fabrics. The way the colors of yarn-dyed woven fabrics are perceived is known as visual color mixing: when the different colored yarns juxtaposed on the fabric surface are observed from some distance away, they are visually mixed in our eyes and perceived as a solid color. However, we can still see individual yarn colors that make the fabrics look obviously different from actual solid colors. To quantify this visual color mixing effect, twenty-one sateen fabrics were produced in a wide range of colors using cyan, magenta, and yellow yarns, and the colors were measured instrumentally. The obtained colorimetric values were converted into solid color images on a CRT monitor. Then, the physical fabrics were scanned, and the scanned images were displayed on the monitor with solid color images in pairs for visual color difference evaluation. The woven and solid colors in each pair were of physically identical color; however, the visual color difference was as large as $4.81{\Delta}{E^*}_{ab}$ on average. A visual color difference model was proposed by considering this parametric effect of individual yarn colors.
Keywords
Visual color mixing; Yarn-dyed woven fabric; Solid color; Visual color difference;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 American Association of Textile Chemists and Colorists. (2007). AATCC EP 1 Gray Scale for Color Change. Research Triangle Park, NC: Author.
2 American Society for Testing and Materials. (2017). ASTM E308 - 17 Standard Practice for Computing the Colors of Objects by Using the CIE System. West Conshohocken, PA: Author.
3 Berns, R. S. (2000). Billmeyer and Saltzman′s principles of color technology (3rd ed.). New York, NY: John Wiley & Sons, Inc.
4 Chae, Y. (2018). Optimized structural and colorimetrical modeling of yarn-dyed woven fabrics based on the Kubelka-Munk theory. Journal of the Korean Society of Clothing and Textiles, 42(3), 503-515. doi:10.5850/JKSCT.2018.42.3.503   DOI
5 Chae, Y., Xin, J. H., & Hua, T. (2016). Color prediction models for digital jacquard woven fabrics. Color Research and Application, 41(1), 64-71. doi:10.1002/col.21945   DOI
6 Chae, Y., Xin, J. H., Hua, T., & Luo, M. (2017). Color appearance modeling of bicolor striped woven fabrics considering neighboring color effects. Color Research and Application, 42(4), 512-521. doi:10.1002/col.22097   DOI
7 Fairchild, M. D. (2013). Color appearance models (3rd ed.). Chichester: John Wiley & Sons, Ltd.
8 Grosicki, Z. J. (1975). Watson′s textile design and colour: Elementary weaves and figured fabrics (7th ed.). Cambridge: Woodhead Publishing Limited.
9 International Organization for Standardization. (1993). ISO105- A02:1993 Textiles -- Tests for colour fastness -- Part A02: Grey scale for assessing change in colour. Geneva: Author.
10 Kandi, S. G., Tehran, M. A., & Rahmati, M. (2008). Colour dependency of textile samples on the surface texture. Coloration Technology, 124(6), 348-354. doi:10.1111/j.1478-4408.2008.00162.x   DOI
11 Koenig, B. (2012). Color workbook (4th ed.). Boston, MA: Pearson.
12 Shao, S. J., Xin, J. H., Zhang, Y., & Li, M. Z. (2006). The effect of texture structure on instrumental and visual color difference evaluation. AATCC Review, 6(10), 42-48.
13 Luo, M. R., Clarke, A. A., Rhodes, P. A., Schappo, A., Scrivener, S. A. R., & Tait, C. J. (1991). Quantifying colour appearance. Part I. LUTCHI colour appearance data. Color Research and Application, 16(3), 166-180. doi:10.1002/col.5080160307   DOI
14 Montag, E. D., & Berns, R. S. (2000). Lightness dependencies and the effect of texture on suprathreshold lightness tolerances. Color Research and Application, 25(4), 241-249. doi:10.1002/1520-6378(200008)25:4<241::AID-COL4>3.0.CO;2-E   DOI
15 Qiao, Y., Berns, R. S., Reniff, L., & Montag, E. (1998). Visual determination of hue suprathreshold color-difference tolerances. Color Research and Application, 23(5), 302-313. doi:10.1002/(SICI)1520-6378(199810)23:5<302::AID-COL6>3.0.CO;2-%23   DOI
16 Tsang, K. M. (2016). Study of fabric texture effects on visual and imaging color difference evaluation (Unpublished doctoral dissertation). The Hong Kong Polytechnic University, Hong Kong.
17 Xin, J. H., Lam, C. C., & Luo, M. R. (2001). Investigation of parametric effects using medium colour-difference pairs. Color Research and Application, 26(5), 376-383. doi:10.1002/col.1053   DOI
18 Xin, J. H., & Shen, H.-L. (2003). Computational model for color mapping on texture images. Journal of Electronic Imaging, 12(4), 697-704. doi:10.1117/1.1604395   DOI
19 Xin, J. H., Shen, H.-L., & Lam, C. C. (2005). Investigation of texture effect on visual colour difference evaluation. Color Research and Application, 30(5), 341-347. doi:10.1002/col.20138   DOI