基于BP神经网络的织物染色计算机配色方法研究

Research on Color Matching in Textile Dying Based on BP Neural Network

本文从对Kubelka-Munk理论的分析入手,通过对三刺激值模式和全光谱配色模式的深入研究,指出了这两种模式存在的优缺点,并在此基础上提出了利用BP神经网络进行计算机染色配色的算法,最后按照此算法进行了织物染色的计算机配色实验,验证了人工神经网络算法在织物染色配色中应用的可能性和可靠性。

The merits and shortcomings of tristimulus value theory and reflection spectrum theory based on the Kubelka-Munk theory are discussed in this paper. And then a color matching method based on BP neural network for textile dyeing is proposed. Finally, the application possibility and the reliability of the artificial intelligent algorithm to textile dying have been confirmed.