用色彩管理软件以及分光光度仪对显示器的屏幕进行了校准和特性化,采用BP 神经网络法建立了从RGB 色空间到Lab 色空间的转换模型。通过对实验数据进行对比分析,结果表明这种算法对色彩空间转换具有较好的非线性拟合能力和更高的预测准确性。

Calibration and characterization of display screen was carried out using color management software and spectrophotometer. RGB to Lab color space model was established using BP neural network method. Comparative experiments were carried out and the data were analyzed. The results showed that the algorithm of this method has good non-linear fitting capability and higher prediction accuracy for color space conversion.