基于Stearns-Noechel模型的混色毛条颜色预测  

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

作　　者：沈加加[1,2] 张志强 陈燕兵[2] 罗晓菊[2] 陈维国[2] 

机构地区：[1]嘉兴学院生物与化工学院,浙江嘉兴314001 [2]浙江理工大学,浙江杭州310018 [3]浙江厚源纺织股份有限公司,浙江桐乡314501

出　　处：《纺织学报》2008年第11期61-66,共6页Journal of Textile Research

基　　金：长江学者和创新团队发展计划资助项目(IRT0654);浙江省科技计划资助项目(2006C11037)

摘　　要：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。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 Steams-Noechel model,color matching formulation for blended-color wool tops was studied. Through statistically analyzing the constant M defined by Steams 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 CIELAB units takes 91.11%. And the averaged color difference decreases to 1.679 CIELAB units. This means that it is suitable for color prediction for blended-color wool tops.

关 键 词：混色毛条 Stearns-Noechel模型 颜色匹配 M常数 

分 类 号：TS193.13[轻工技术与工程—纺织化学与染整工程]