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Image analysis and fuzzy integration applied to print quality assessment
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2185-8973
Department of Applied Electronics, Kaunas University of Technology, Kaunas, Lithuania.
2005 (English)In: Cybernetics and systems, ISSN 0196-9722, E-ISSN 1087-6553, Vol. 36, no 6, p. 549-564Article in journal (Refereed) Published
Abstract [en]

We present an image analysis and fuzzy integration based option for the assessment of print quality in rotogravure printing. Values of several print distortion attributes are evaluated employing image analysis procedures and then are aggregated into an overall print quality measure using fuzzy integration. The experimental investigations performed have shown that the print quality evaluations provided by the measure correlate well with the print quality rankings obtained from the expert. The developed tools are successfully used in printing shops for routine print quality control.

Place, publisher, year, edition, pages
London: Taylor & Francis, 2005. Vol. 36, no 6, p. 549-564
Keywords [en]
Image analysis, Fuzzy integration
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-251DOI: 10.1080/01969720590961709ISI: 000230822100001Scopus ID: 2-s2.0-23744486843Local ID: 2082/546OAI: oai:DiVA.org:hh-251DiVA, id: diva2:237429
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2017-12-13Bibliographically approved

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Verikas, Antanas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf