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Towards automation of color/weave selection in Jacquard design: Model verification
Author(s) -
Mathur Kavita,
Hinks David,
Seyam AbdelFattah M.,
Donaldson Robert Alan
Publication year - 2009
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.20494
Subject(s) - colored , mixing (physics) , reflectivity , computer science , face (sociological concept) , artificial intelligence , range (aeronautics) , automation , computer vision , computer graphics (images) , matching (statistics) , selection (genetic algorithm) , engineering drawing , mathematics , materials science , engineering , optics , mechanical engineering , statistics , composite material , physics , social science , quantum mechanics , sociology
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