基于Stearns-Noechel模型的混色毛条颜色预测

 由于有色纤维混纺后难以准确预测目标色的颜色构成,其颜色预测一直是生产中有待解决的难题,为此,在Stearns-Noechel模型基础上探讨有色毛条混色的颜色匹配公式。通过统计分析改进公式中的M常数,提出新的预测公式,并与原公式进行对比。结果表明:改进后的公式在线性关系和匹配精度上都有了不同程度的提高,尤其是针对波长修正的M值所建立的新模型,在匹配90个样品时,色差小于3.0的个数占91.11%,平均色差降低为1.679 CIELAB单位,表明该模型适用于混色毛条的颜色预测。

Match prediction for blended-color wool tops based on Stearns-Noechel model

It is difficulty to precisely predict the matching of colors for blended-color wool tops,which still remains a problem to be solved in production.In this paper,based on Stearns-Noechel model,color matching formulation for blended-color wool tops was studied.Through statistically analyzing the constant M defined by Stearns and Noechel,it modifies and expands the old formula and proposes a new one.After comparing with the old formula,the result shows that the new models not only improve the matching accuracy,but also have a good linear correlation.Especially,when the new model which is set up by the constant M according to the wavelength is used to predict 90 wool top blended samples,the number of the color difference under 3.0 ClELAB units takes 91.11%.And the averaged color difference decreases to 1.679 ClELAB units.This means that it is suitable for color prediction for blended-color wool tops.