Research on Application of Principal Component Analysis in Computer Color Matching for Textile Dyeing
To get the relationship of textile dye recipe and three stimulus values, by analysis with the experimental data, multiple nonlinear model of dye recipe and three stimulus values of C, M and Y is established in this paper based on Principal Component Analysis. Combined with curve fitting and surface fitting, the nonlinear equations with parameters can be got, and then the Newton iterative method can be used to solve the nonlinear equations in order to get the dye recipe. The experimental results show that, u-sing the principal component analysis to establish the corresponding mathematical model, the values of the dye recipe and the actual values are very close, which can meet the requirements of the actual dyeing color matching.
computer color matchingprincipal component analysiscurve fittingsurface fitting
NETL
NSTL
万方数据
维普
