Difference between revisions of "Publications:Intelligent Monitoring of the Offset Printing Process"

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(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Lars Bergman, Antanas Verikas |PID=556064 |Name=Bergman, Lars [lb] (Högsko...")
 
 
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|Name=Bergman, Lars [lb] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Intelligenta system (IS-lab) [3941]);Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938], Intelligenta system (IS-lab) [3941])
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|Name=Bergman, Lars (lb) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941));Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941))
 
|Title=Intelligent Monitoring of the Offset Printing Process
 
|Title=Intelligent Monitoring of the Offset Printing Process
 
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|LastUpdated=2014-11-10
 
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Title Intelligent Monitoring of the Offset Printing Process
Author
Year 2004
PublicationType Conference Paper
Journal
HostPublication Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence
Conference International Conference on Neural Networks and Computational Intelligence, Grindelwald, 23 - 25 February 2004
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:556064
Abstract

In this paper, we present a neural networks and image analysis based approach to assessing colour deviations in an offset printing process from direct measurements on halftone multicoloured pictures--there are no measuring areas printed solely to assess the deviations. A committee of neural networks is trained to assess the ink proportions in a small image area. From only one measurement the trained committee is capable of estimating the actual amount of printing inks dispersed on paper in the measuring area. To match the measured image area of the printed picture with the corresponding area of the original image, when comparing the actual ink proportions with the targeted ones, properties of the 2-D Fourier transform are exploited.