有色的
混合(物理)
反射率
计算机科学
面子(社会学概念)
航程(航空)
人工智能
自动化
匹配(统计)
计算机视觉
选择(遗传算法)
计算机图形学(图像)
工程制图
数学
材料科学
工程类
机械工程
光学
统计
复合材料
社会科学
物理
量子力学
社会学
作者
Kavita Mathur,D. G. Hinks,Abdel‐Fattah M. Seyam,Robert Alan Donaldson
摘要
Abstract Jacquard woven fabrics are made from colored yarns and different weaves for designing complex pictorial and other patterning effects. The final visualized color effect is the result of assigning weave designs to different areas of the pattern to be created. The current practice in creating Jacquard woven fabric designs is to produce many samples in a trial‐and‐error attempt to match artwork colors. An ability to simulate accurately the appearance of a design prior to manufacture is highly desirable to reduce trial‐and‐error sample production. No automated accurate digital color methodology is yet available to assist designers in matching the patterned woven fabric to the desired artwork. To achieve this, we developed a geometrical model to predict the color contribution of each yarn on the face of the fabric. The geometrical model combined with a Kubelka‐Munk based color mixing model allowed the prediction of the reflectance properties of the final color for a given design. We compared the predicted and experimental values of the reflectance properties for a range of fabrics using the same geometric model with three separate color mixing models. The geometrical model combined with a log‐based color mixing model produced reasonable agreement between predicted and measured ΔE ab , with an average ΔE ab of approximately five. © 2009 Wiley Periodicals, Inc. Col Res Appl, 34, 225–232, 2009
科研通智能强力驱动
Strongly Powered by AbleSci AI