基于遗传算法的计算机配色优化模型  

Computer Color Matching Optimization Model Based on Genetic Algorithm

作　　者：查运卓 杨莉军[1] 刘涵弘 辛世纪 CHA Yunzhuo;YANG Lijun;LIU Hanhong;XIN Shiji(Beijing Institute of Graphic Communication,Beijing 102600,China)

机构地区：[1]北京印刷学院,北京102600

出　　处：《北京印刷学院学报》2024年第3期61-66,共6页Journal of Beijing Institute of Graphic Communication

摘　　要：针对不透明制品配色外观美观度和市场竞争力问题,提出一种基于遗传算法的计算机配色优化模型,通过模拟自然界中基因进化过程来寻找最优颜色搭配。该模型将颜色搭配问题转化为一个遗传搜索问题,通过不断地迭代和优化,寻找出最佳的色彩组合。依据不同波长不同浓度下着色剂的K/S值、计算机配色理论K-M光学模型以及CIELAB色差计算公式,采用基于遗传算法的计算机配色优化模型,对样品的配方进行细致分析,充分发挥MATLAB对于不同数据处理的优劣,快速、准确地完成数据的处理且寻找配方时循环遍历的思想运用恰当,操作简便且易于推广。Aiming at the problems of opaque product color matching appearance and market competitiveness,a computer color matching optimization model based on genetic algorithm was proposed to find the best color matching by simulating the genetic evolution process in nature.The model transforms the color matching problem into a genetic search problem,and finds the best color combination through continuous iteration and optimization.According to the K/S value of colorants at different wavelengths and different concentrations,the K-M optical model of computer color matching theory and the CIELAB color difference calculation formula,the computer color matching optimization model based on genetic algorithm is adopted to carry out a detailed analysis of the sample formula,and give full play to the advantages and disadvantages of MATLAB for different data processing.The data processing is completed quickly and accurately,and the idea of loop traversal is used properly when looking for formula,which is easy to operate and easy to popularize.

关 键 词：计算机配色理论 色料加和混合模型 K-M光学模型 多项式回归模型 整数规划模型 遗传算法 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]