A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends 


Vol. 25,  No. 6, pp. 2139-2148, Jun.  2024
10.1007/s12221-024-00559-8


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  Abstract

In order to apply the single-constant Kubelka–Munk (KM) model to color prediction of fiber blends, a novel correction method is proposed in the paper. The single-constant KM model is based on the assumption that the ratio of absorption coefficients to scattering coefficients (K/S) of a mixture is linear to mass proportion of its components. However, when it comes to the media of pre-colored fiber blends, the linear assumption always fails, resulting in inaccurate color prediction with large color difference. To solve this problem, a novel correction method was proposed, which improved the linearity of K/S in the way of decreasing the linear deviation. Pre-colored cotton fibers were used to prepare samples to examine the proposed correction method. The average color difference values ΔEcmc (2:1) and ΔE00 of the single-constant KM model with proposed correction method are 1.37 and 1.17 respectively, which are remarkably better than those of the Kubelka-Munk model without correction (~ 8.41 and 6.35) and the Kubelka-Munk model with Saunderson correction (~ 8.63 and 6.55). The results indicate that, for the media of pre-colored fiber blends, the proposed correction method greatly improves the color prediction accuracy.

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  Cite this article

[IEEE Style]

C. Wei, D. Xie, X. Wan, S. Liu, J. Li, "A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends," Fibers and Polymers, vol. 25, no. 6, pp. 2139-2148, 2024. DOI: 10.1007/s12221-024-00559-8.

[ACM Style]

Chun‘ao Wei, Dehong Xie, Xiaoxia Wan, Shiwei Liu, and Junfeng Li. 2024. A Novel Correction Method of Kubelka–Munk Model for Color Prediction of Pre-colored Fiber Blends. Fibers and Polymers, 25, 6, (2024), 2139-2148. DOI: 10.1007/s12221-024-00559-8.

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