基于多元回归模型的不同浓度物质颜色分量分析

Color Component Analysis of Different Concentration Matter Based on Multiple Regression Model

本文利用绿红蓝(GRB)图像颜色检测技术测量待测物质的颜色分量,建立物质浓度与颜色分量的多元回归模型,并得到多元函数关系式,通过残差分析法绘制拟合曲线与实测值的对比图像,检验了多元回归模型的可行性.结果表明,此模型可较为准确地计算待测物质的浓度.

In this paper,green,red,blue（ GRB） image color detection technique was used to measure the color component of the substance under test,and the multivariate regression model of the substance concentration and color component was established,and the multivariate function was obtained. The feasibility of the multivariate regression model was tested by drawing the contrast image between the fitting curve and the measured value by the residual analysis method. The results show that this model can accurately,calculate the concentration of the substance to be measured.