基于约束最小二乘法的色纺纱配色方法  

Color Matching Method of Colored Spun Yarn Based on Constrained Least Square Method

作　　者：沈加加[1,2] 陈维国[3] 刘伟 

机构地区：[1]东华大学化工与生物工程学院,上海201600 [2]嘉兴学院材料与纺织工程学院,浙江嘉兴314001 [3]浙江理工大学材料与纺织学院,浙江杭州310018 [4]浙江华孚色纺有限公司,浙江绍兴312300

出　　处：《针织工业》2015年第6期31-33,共3页Knitting Industries

基　　金：嘉兴市"现代纺织科技"创新团队开放基金项目(MTC2011-002)资助

摘　　要：介绍了色纺纱常用光谱配色模型(Stearns-Noechel模型、Friele模型、Kubelka-Munk模型),提出了一种基于约束最小二乘法的色纺纱光谱配色方法,即利用数据库中已有的单色纤维光谱,对目标色纺纱的光谱进行拟合,通过约束最小二乘法实现目标色纺纱的配方(即单色组分及组分比)计算。结果表明,运用约束最小二乘法可直接获得组分比为非负值,且组分比和为1的配方,更加符合生产打样需求;3个模型中基于Stearns-Noechel模型的约束最小二乘法光谱配色算法计算得到的配色准确性最高。The common spectrum color matching models including Stearns-Noechel model, Friele model and Kubelka-Munk model were introduced. A spectrum color matching method of colored spun yarn based on con- strained least square method was put forward, i.e., spectrum of objective colored spun yarn was matched through using existing monochrome fiber spectrum in database, and then it could realize the calculation of objective colored spun yarn recipe by constrained least square method, including monochrome component and component ratio. The results show that it can obtain the recipe that the component ratio is non-negative and sum of component ratio is 1, and it is more aligned with proofing requirements; accuracy rate of color matching is the highest by constrained least square method based on Stearns-Noeehel model among the three models.

关 键 词：色纺纱 约束最小二乘法 配色 Stearns-Noechel模型 Friele模型 Kubelka-Munk4模型 

分 类 号：TS193.13[轻工技术与工程—纺织化学与染整工程]