多通道图像色彩重建的神经网络算法  

Neural Network Algorithm for Multi-Channel Image Color Reconstruction

作　　者：易文娟[1] 孙刘杰[1] 王文举[1] YI Wenjuan;SUN Liujie;WANG Wenju(College of Communication and Art Design,Shanghai University of Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学出版印刷与艺术设计学院

出　　处：《包装学报》2019年第4期82-89,共8页Packaging Journal

基　　金：上海市科学技术委员会科研计划基金资助项目（18060502500）

摘　　要：为了解决目前多光谱成像设备输出的应用问题,将神经网络算法应用于多通道图像色彩重建。CCD相机加LED光源组成多光谱成像系统,研究其输出的多通道图像中色彩信息的高效转换方法,建立了D50光源下的神经网络转换模型,利用BP神经网络和GRNN对多光谱成像系统进行色彩重建实验。研究结果表明:采用搭建的模型可以得到较高的色度重建精度,更换目标样本色彩重建性能保持稳定。In order to solve the problem in the application of the current multi-spectral imaging device, the neural network algorithm was applied in multi-channel image color reconstruction. With the high-efficiency conversion model of color information of multi-channel images in the multi-spectral imaging system consisting of CCD camera and LED light source, a neural network conversion model under D50 light source was established and color reconstruction experiments using BP neural network and GRNN neural network were carried out. The result showed that the built model could obtain higher chroma reconstruction accuracy and the color reconstruction performance of the replacement target sample remained stable.

关 键 词：多光谱成像系统 色彩重建 神经网络 算法模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]