Color matching of fabric blends: hybrid Kubelka-Munk + artificial neural network based method
نویسندگان
چکیده
منابع مشابه
Color matching of fabric blends: hybrid Kubelka-Munk + artificial neural network based method
Color matching of fabric blends is a key issue for the textile industry, mainly due to the rising need to create high-quality products for the fashion market. The process of mixing together differently colored fibers to match a desired color is usually performed by using some historical recipes, skillfully managed by company colorists. More often than desired, the first attempt in creating a bl...
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Different industries are usually faced with computer color matching as an important problem. The most famous formula which is commonly used for recipe prediction is based on Kubelka-Munk K-M theory. Considering that spectrophotometer’s geometry and its situation influence the measured spectral values, the performance of this method can be affected by the instrument. In the present study, three ...
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The color of the blends of pre-colored fibers depends on the ratio of each fiber in the blends. Some theories have been introduced for color matching of blends of pre-colored fibers. Most however, are restricted in scope and accuracy. Kubelka and Munk presented the most applicable theory, which is still used in industry. In this work, the classical Kubelka-Munk method for color prediction of a ...
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ژورنال
عنوان ژورنال: Journal of Electronic Imaging
سال: 2016
ISSN: 1017-9909
DOI: 10.1117/1.jei.25.6.061402