摘要
目前国内外LCD的特性化研究方法已经很多。本文采用人工神经网络法定量描述了液晶显示器的颜色特性。对比S-shape模型,在实验测量的基础上,比较了两种方法的优缺点。神经网络主要研究了训练方法、传递函数、隐层数和隐层单元数对结果的影响,最后得到人工神经网络法的颜色校正模型。
Now there are many research methods for LCD Colorimetric Characterization at home and abroad,we use artificial neural networks to describe the color characteristics of LCD monitors quantitatively.Compared to S-shape model,we analyze the advantages and disadvantages of the two methods on the basis of experimental measurements.The neural network training method has been mainly studied to see how the transfer function,hidden layers and the number of the hidden units influence on the results.And finally we get the artificial neural network color calibration model.
出处
《激光与红外》
CAS
CSCD
北大核心
2011年第10期1150-1153,共4页
Laser & Infrared
基金
福建省教育厅A类科技项目(No.JA10254)
厦门市科技计划指导性项目(No.3502Z20099006)资助
关键词
颜色特性化
人工神经网络
S-shape模型
色差
colorimetric characterization
artificial neural networks
S-shape model
color difference
