最小误差平均拟合方法在计算机配色中的应用研究

Bingsen Zhang, Yaping Shi, Houjun Yang, Xiaojie Liu, A. Zhang
{"title":"最小误差平均拟合方法在计算机配色中的应用研究","authors":"Bingsen Zhang, Yaping Shi, Houjun Yang, Xiaojie Liu, A. Zhang","doi":"10.1109/ISI.2011.5984100","DOIUrl":null,"url":null,"abstract":"In order to get the prediction of dyeing concentration on the value of fabric color, this paper establishes the mathematical model of RGB value and dyeing concentration based on the measured data. And then the minimum error average fitting method is used to calculate the function to get the prediction. The Newton iteration method is also used in solving the equation after the measured RGB data is substituted. And finally the dyeing concentration we need is found.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on application of the minimum error average fitting method in computer color matching\",\"authors\":\"Bingsen Zhang, Yaping Shi, Houjun Yang, Xiaojie Liu, A. Zhang\",\"doi\":\"10.1109/ISI.2011.5984100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to get the prediction of dyeing concentration on the value of fabric color, this paper establishes the mathematical model of RGB value and dyeing concentration based on the measured data. And then the minimum error average fitting method is used to calculate the function to get the prediction. The Newton iteration method is also used in solving the equation after the measured RGB data is substituted. And finally the dyeing concentration we need is found.\",\"PeriodicalId\":220165,\"journal\":{\"name\":\"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2011.5984100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2011.5984100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

为了得到染色浓度对织物颜色值的预测,本文在实测数据的基础上,建立了RGB值与染色浓度的数学模型。然后采用最小误差平均拟合方法对函数进行计算,得到预测结果。将实测RGB数据代入后,采用牛顿迭代法求解方程。最后找到我们需要的染色浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on application of the minimum error average fitting method in computer color matching
In order to get the prediction of dyeing concentration on the value of fabric color, this paper establishes the mathematical model of RGB value and dyeing concentration based on the measured data. And then the minimum error average fitting method is used to calculate the function to get the prediction. The Newton iteration method is also used in solving the equation after the measured RGB data is substituted. And finally the dyeing concentration we need is found.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信