Department of Clothing & Textiles, Chungbuk National University, Chungdae-ro 1, Seowon-gu, Cheongju, Chungbuk, 28644, Republic of Korea.
Sci Rep. 2022 Sep 8;12(1):15213. doi: 10.1038/s41598-022-19578-7.
The color of yarn dyed woven fabrics comes from a series of different colored yarns mixed in complex ways and various proportions. Thus, predicting the color mixing effect or formulating the recipe is a difficult task which should consider the interaction between colored yarns and structure variations. Color mixing recipes, which are also called color prediction models, for woven fabrics have generally been derived through the two-dimensional modeling of woven structures. In this study, the three-dimensional geometrical and colorimetrical modelings of single-, double-, and three-layered woven fabrics in a wide range of colors were conducted to obtain two types of optimal spectral reflectance-based color prediction models. Through model evaluations, the obtained three-dimensional color prediction models were proved to have much higher predictive accuracy, especially in terms of lightness and chroma predictions, than that of the two-dimensional color prediction models previously developed.
色纱交织织物的颜色来源于一系列以复杂方式和不同比例混合的不同颜色的纱线。因此，预测颜色混合效果或制定配方是一项艰巨的任务，需要考虑有色纱线与结构变化之间的相互作用。色纱交织织物的混色配方，也称为颜色预测模型，通常是通过对交织结构的二维建模得到的。在本研究中，对单层、双层和三层交织织物进行了广泛颜色范围的三维几何和比色建模，以获得两种基于最佳光谱反射率的颜色预测模型。通过模型评估，证明所获得的三维颜色预测模型具有比以前开发的二维颜色预测模型更高的预测精度，尤其是在亮度和色度预测方面。
