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基于Stearns-Noechel模型的纤维光谱配色算法 被引量:18

Spectrophotometric algorithm of pre-colored fiber based on Stearns-Noechel model
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摘要 为了研究有色纤维的配色算法,使用红、黄、蓝3种单色粘胶纤维按一定质量比例混合得到混色纤维,并对混色纤维的颜色进行了测量。通过对Stearns-Noechel模型的分析应用,结合光谱配色算法,对36个混色粘胶纤维的处方进行了匹配,配色结果显示最大色差为1.03 CIELAB单位,最小色差为0.10 CIELAB单位。结果表明此算法可以应用于有色纤维的配色。 In order to find a good recipe to reproduce a target color for pre-dyed fibers, three primary samples, red, yellow and blue viscose, were used to prepare 36 fibre blends. A spectrophotometric color matching algorithm based on Steams-Noechel model is used to predict recipes for 36 viscose blends. The results indicate that the maximum color difference is 1.03 CIELAB units, and the minimum, 0.10 CIELAB units. This demonstrates that the algorithm is suitable for color matching of fiber blends.
出处 《纺织学报》 EI CAS CSCD 北大核心 2007年第1期77-80,共4页 Journal of Textile Research
基金 东华大学校基金资助项目
关键词 配色 Stearns-Noechel模型 有色纤维 光谱配色 color matching Steams-Noecbel model pre-colored fiber spectrophotometric algorithm
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参考文献8

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