Journal
TEXTILE RESEARCH JOURNAL
Volume 92, Issue 15-16, Pages 2569-2579Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0040517521989788
Keywords
Color matching; spectrophotometric algorithm; pre-colored fiber blends; K-M double-constant theory
Categories
Funding
- Postgraduate Research & Practice Innovation Program of Jiangsu Provence [KYCX17_1451]
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The proposed spectrophotometric color matching method based on the improved K-M double-constant theory has shown better color matching effects and significantly reduced calculation time in color spun production. Compared to traditional methods, it offers higher accuracy and efficiency in color matching for pre-colored fiber blends.
Computer color matching can improve production efficiency and reduce costs in color spun. However, in practice the computer color matching success rate for pre-colored fiber blends has not been good, leading to customers being unsatisfied with the accuracy of the color matching results. Aiming to improve the accuracy, a hybrid of least squares and grid search method has been proposed for spectrophotometric color matching of pre-colored fiber blend based on the improved Kubelka-Munk (K-M) double-constant theory. Two-primary, three-primary, four-primary, and five-primary pre-colored cotton fiber blends were prepared as standard samples to evaluate the color matching accuracy of the proposed method. Compared with the least squares method and the grid search method, the proposed method achieved better color matching effects and greatly shortened the calculation time, respectively. For 42 pre-colored fiber blends, the average color difference between the predicted results obtained by the proposed method, least squares method, and grid search method and the spectrophotometer measurements were respectively 0.29, 0.53, and 0.36 CIE2000 units. The experimental results indicated that the proposed method could predict the formulation of standard samples quickly and effectively, and that it was superior to other methods in providing satisfactory color matching results for the enterprises.
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