Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76910
Title: Color prediction of yarn-dyed woven fabrics
Other Titles: Color prediction of yarn-dyed woven fabrics -Model evaluation-
Authors: Chae, Y
Xin, J 
Hua, T 
Keywords: Color prediction
Color appearance
Color mixing model
Model evaluation
Yarn-dyed woven fabric
Issue Date: 2014
Publisher: The Korean Society of Clothing and Textiles
Source: Journal of the Korean Society of Clothing and Textiles, 2014, v. 38, no. 3, p. 347-354 How to cite?
Journal: Journal of the Korean Society of Clothing and Textiles 
Abstract: The color appearance of a yarn-dyed woven fabric depends on the color of the yarn as well as on the weave structure. Predicting the final color appearance or formulating the recipe is a difficult task, considering the interference of colored yarns and structure variations. In a modern fabric design process, the intended color appearance is attained through a digital color methodology based on numerous color data and color mixing recipes (i.e., color prediction models, accumulated in CAD systems). For successful color reproduction, accurate color prediction models should be devised and equipped for the systems. In this study, the final colors of yarn-dyed woven fabrics were predicted using six geometric-color mixing models (i.e., simple K/S model, log K/S model, D-G model, S-N model, modified S-N model, and W-O model). The color differences between the measured and the predicted colors were calculated to evaluate the accuracy of various color models used for different weave structures. The log K/S model, D-G model, and W-O model were found to be more accurate in color prediction of the woven fabrics used. Among these three models, the W-O model was found to be the best one as it gave the least color difference between the measured and the predicted colors.
URI: http://hdl.handle.net/10397/76910
ISSN: 1225-1151
EISSN: 2234-0793
DOI: 10.5850/JKSCT.2014.38.3.347
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