基于BP神经网络的计算机油墨配色系统的研究  

The research of ink′s computer color matching system based on BP neural network

作　　者：赵晨飞[1] 韩卿[1] 兀旦晖[1] 

机构地区：[1]陕西科技大学轻工与能源学院,陕西西安710021

出　　处：《陕西科技大学学报（自然科学版）》2012年第6期15-18,共4页Journal of Shaanxi University of Science & Technology

摘　　要：计算机配色可提高油墨配色的速度和精度,具有重要作用.基于两种颜色空间和BP神经网络的计算机配色系统被研究.实验结果表明基于光谱颜色空间配色系统的配色精度更高,可应用于目前的各种印刷方式中.基于BP神经网络的配色系统具有很强的适用性,推进了印刷的数字化流程.Computer color matching can improve the ink＇s color matching speed and accura- cy, which plays an important role. In this paper the two kinds of computer color matching system based on two color spaces and BP neural network are disscussed. The experimental results show that the color matching system based on the spectral color space is of higher ac- curacy which can be applied to the current various printing way. The color matching system based on BP neural network has strong applicability, can improve the printing＇s digital work flow.

关 键 词：油墨 计算机配色 BP神经网络 光谱 

分 类 号：TS802.3[轻工技术与工程] TS801.9