Research on Application of Polynomial Regression Analysis for Computer Color Matching in Textile Dyeing

Min Yan; Bing Sen Zhang; Dong Mei Wang

doi:10.4028/www.scientific.net/AMM.602-605.719

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on Application of Polynomial Regression...

Research on Application of Polynomial Regression Analysis for Computer Color Matching in Textile Dyeing

Abstract:

The traditional color matching method for textile dyeing by experiences cannot meet the needs of modern production for color matching in textile dyeing. In order to solve this problem, a mathematical model for the three stimulus values CMY and the dye weight concentrations has been established by collecting and analyzing the actual data from a factory. We analyze this model by polynomial least square approximation and polynomial regression, and then we solve the dye concentrations with the Newton iteration method. Verification results show that the error between the experimental values and the actual values is very small. So this model has higher accuracy, and it can be used in actual productions.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

719-722

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.719

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Online since:

August 2014

Authors:

Min Yan*, Bing Sen Zhang, Dong Mei Wang

Keywords:

Computer Color Matching, Least Squares Approximation, Newton Iteration Method, Polynomial Regression

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* - Corresponding Author

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