Publications:Intelligent Monitoring of the Offset Printing Process

Do not edit this section

Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.

Keep all hand-made modifications below

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.