Research on full color gamut mixing model constructed by CNC spinning and Stearns-Noechel color prediction method
Xianqiang Sun, Yuan Xue, Yuexing Liu, Guoqing Zhang, Lixia Liu, Liqiang Wang
Abstract
A full color gamut mixing model including 166 grid points was constructed based on a ternary coupled mixing algorithm. Using 31 grid points as standard samples and preparing colored yarns and their fabrics, the 961 groups of spectral reflectance curves of 31 fabrics were obtained by spectrophotometer, and the reflectance conversion coefficient solution approach with spectral wavelength and mixing ratios of colored fibers as independent variables was provided by Stearns-Noechel formula. The method of predicting colors of yarns using colors and mixing ratios of three primary colored fibers and predicting color values and mixing ratios of three primary colored fibers by devised colors is proposed. Experiments show that solving the reflectance conversion coefficient according to the spectral wavelength and mixing ratios of colored fibers may improve the prediction accuracy of the Stearns-Noechel formula. The application of an improved reflectance conversion coefficient in the Stearns-Noechel formula enhances the prediction accuracy of both the colors and the mixing ratios.