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Recipes Predicted by Colorimetric Color Matching Based On New Two-Constant Kubelka-Munk Theory

【摘要】:正It was reported that computer color matching based on two-constant theory had been applied to textile samples. However, it is complicated to determine the unit values of both k and s for each colorant as well as for textile sample being matched, A concept of new two-constant of colorant is introduced based on the Kubelka-Munk theory, and new two-constant theory for color matching is put forward in this paper. The basic equations used in computer color matching are given in matrix form. Algorithm for match to tristimulus values is developed based on the new two-constant theory. This algorithm is suitable for single-constant theory as well as new two-constant theory. Polyester fabrics and disperse dyes are used in our numerical experiments. The data of polyester fabrics, dyed by three dyes (Disperse Terasil Red 5G, Disperse Terasil Yellow 4G and Disperse Terasil Brill. Blue 3RL) with various concentrations, are used as the data of standards. The spectral reflectance distributions of these standards are carried out with the color measuring and matching system (Datacolor, SF600plus). The experimental results show that the sample according to the recipe RST predicted by single-constant theory has larger color difference △Em against for the standard although the color difference △E predicted by single-constant theory may be very small, that the recipes RTT predicted by new two-constant theory are closer to the actual recipes RA of the standard than the recipes RST, and that the sample according to the recipe RTT has smaller color difference against for the standard than the sample according to the recipe RST. The reason for these is that the scattering of the disperse dye is omitted in single-constant theory. The experimental results show that the scattering of disperse dyes cannot be negligible, and that the recipes matching to textile colored by disperse dyes should be predicted by using of new two-constant theory.

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