Difference between revisions of "Publications:Image analysis and artificial neural network for colour classification in multicolour newspaper printing"

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|Name=Verikas, Antanas [av] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Malmqvist, Kerstin [kermalx] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);Busk, Hans (Department of Physics, Lund University, Lund, Sweden )
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|Name=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));Malmqvist, Kerstin (kermalx) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Busk, Hans (Department of Physics, Lund University, Lund, Sweden )
 
|Title=Image analysis and artificial neural network for colour classification in multicolour newspaper printing
 
|Title=Image analysis and artificial neural network for colour classification in multicolour newspaper printing
 
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Title Image analysis and artificial neural network for colour classification in multicolour newspaper printing
Author
Year 1994
PublicationType Conference Paper
Journal
HostPublication 1994 International Printing and Graphic Arts Conference : October 17-20, 1994 Chateau Halifax Hotel, Halifax, Canada
Conference 1994 International Printing and Graphic Arts Conference, Halifax, Canada, 17-20 October 1994
DOI
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:544669
Abstract

Automatic inspection of printed multicoloured screen pictures demands methods for colour classification of screen dots and pans of screen dots directly in an arbitrary picture. The paper describes a technique using colour image analysis and artificial neural network for inverse colour separation. For every arbitrary small part of a coloured picture it is determined which coloured inks that have been printed in that part. Special attention is paid to the problem of seperating between black colour produced by black ink and black colour produced by combining cyan, magenta and yellow ink. The technique is tested on multicoloured newsprint and a high correct colour classification rate has been demonstrated.