Toward more efficient and effective color quality control for the large-scale offset printing process

IF 2.3 4区 化学 Q1 SOCIAL WORK Journal of Chemometrics Pub Date : 2024-03-15 DOI:10.1002/cem.3543
Pawel Dziki, Lukasz Pieszczek, Michal Daszykowski
{"title":"Toward more efficient and effective color quality control for the large-scale offset printing process","authors":"Pawel Dziki,&nbsp;Lukasz Pieszczek,&nbsp;Michal Daszykowski","doi":"10.1002/cem.3543","DOIUrl":null,"url":null,"abstract":"<p>This study illustrates at-line application of hyperspectral imaging in the visible range for quality control of large-scale offset printing. In particular, the measurement stability of a competitive device is assessed and compared to traditional handheld and desktop spectrophotometers. The performance of the commercially available instruments was assessed based on collected spectra and their corresponding L*, a*, and b* values. The printing process was described by hyperspectral images (in visible range) of selected regions from template color fields acquired at 17 sampling occasions. Spectra constituting hyperspectral images were visualized and evaluated in the space of significant principal components obtained from the principal component analysis. Furthermore, confidence ellipses were constructed for each set of spectra characterizing a specific moment of the printing process. Comparing their mutual locations, shapes, orientations, and sizes enabled effective visualization of process variability and was more comprehensive regarding the classic approach based on information provided by desktop and handheld spectrometers.</p>","PeriodicalId":15274,"journal":{"name":"Journal of Chemometrics","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemometrics","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cem.3543","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL WORK","Score":null,"Total":0}
引用次数: 0

Abstract

This study illustrates at-line application of hyperspectral imaging in the visible range for quality control of large-scale offset printing. In particular, the measurement stability of a competitive device is assessed and compared to traditional handheld and desktop spectrophotometers. The performance of the commercially available instruments was assessed based on collected spectra and their corresponding L*, a*, and b* values. The printing process was described by hyperspectral images (in visible range) of selected regions from template color fields acquired at 17 sampling occasions. Spectra constituting hyperspectral images were visualized and evaluated in the space of significant principal components obtained from the principal component analysis. Furthermore, confidence ellipses were constructed for each set of spectra characterizing a specific moment of the printing process. Comparing their mutual locations, shapes, orientations, and sizes enabled effective visualization of process variability and was more comprehensive regarding the classic approach based on information provided by desktop and handheld spectrometers.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
为大型胶版印刷工艺提供更高效、更有效的色彩质量控制
本研究说明了在可见光范围内高光谱成像在大规模胶版印刷质量控制中的在线应用。特别是评估了竞争设备的测量稳定性,并与传统的手持式和台式分光光度计进行了比较。根据收集到的光谱及其相应的 L*、a* 和 b* 值,对商用仪器的性能进行了评估。印刷过程是通过在 17 次采样中从模板色域采集的选定区域的高光谱图像(可见光范围)来描述的。构成高光谱图像的光谱在通过主成分分析获得的重要主成分空间中被可视化和评估。此外,还为每组光谱构建了置信椭圆,以描述印刷过程的特定时刻。通过比较它们的相互位置、形状、方向和大小,可以有效地将过程的可变性可视化,与基于台式和手持式光谱仪所提供信息的传统方法相比,这种方法更加全面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Chemometrics
Journal of Chemometrics 化学-分析化学
CiteScore
5.20
自引率
8.30%
发文量
78
审稿时长
2 months
期刊介绍: The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications. Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.
期刊最新文献
Issue Information Issue Information Resampling as a Robust Measure of Model Complexity in PARAFAC Models Population Power Curves in ASCA With Permutation Testing A Non‐Linear Model for Multiple Alcohol Intakes and Optimal Designs Strategies
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1