Assessing print quality by machine in offset colour printing
Information processing steps in printing industry are highly automated, except the last one—print quality assessment, which usually is a manual, tedious, and subjective procedure. This article presents a random forests-based technique for automatic print quality assessment based on objective values...
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| Published in: | Knowledge-based systems Vol. 37; pp. 70 - 79 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01-01-2013
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| Abstract | Information processing steps in printing industry are highly automated, except the last one—print quality assessment, which usually is a manual, tedious, and subjective procedure. This article presents a random forests-based technique for automatic print quality assessment based on objective values of several print quality attributes. Values of the attributes are obtained from soft sensors through data mining and colour image analysis. Experimental investigations have shown good correspondence between print quality evaluations obtained by the technique proposed and the average observer. |
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| AbstractList | Information processing steps in printing industry are highly automated, except the last one print quality assessment, which usually is a manual, tedious, and subjective procedure. This article presents a random forests-based technique for automatic print quality assessment based on objective values of several printquality attributes. Values of the attributes are obtained from soft sensors through data mining and colour image analysis. Experimental investigations have shown good correspondence between print quality evaluations obtained by the technique proposed and the average observer. (C) 2012 Elsevier B.V. All rights reserved. Information processing steps in printing industry are highly automated, except the last one—print quality assessment, which usually is a manual, tedious, and subjective procedure. This article presents a random forests-based technique for automatic print quality assessment based on objective values of several print quality attributes. Values of the attributes are obtained from soft sensors through data mining and colour image analysis. Experimental investigations have shown good correspondence between print quality evaluations obtained by the technique proposed and the average observer. Information processing steps in printing industry are highly automated, except the last oneaprint quality assessment, which usually is a manual, tedious, and subjective procedure. This article presents a random forests-based technique for automatic print quality assessment based on objective values of several print quality attributes. Values of the attributes are obtained from soft sensors through data mining and colour image analysis. Experimental investigations have shown good correspondence between print quality evaluations obtained by the technique proposed and the average observer. |
| Author | Verikas, A. Lundström, J. |
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| BackLink | https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-20277$$DView record from Swedish Publication Index |
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| Cites_doi | 10.1177/095440540321700807 10.1243/0959651042715268 10.1007/BF01211659 10.1016/j.eswa.2008.07.021 10.1016/j.eswa.2008.01.043 10.1109/TSMC.1979.4310076 10.1023/A:1010933404324 10.1016/j.eswa.2011.04.035 10.1016/S0925-5273(98)00078-4 10.1016/j.engappai.2006.10.005 10.1016/j.patrec.2011.04.006 10.1016/j.knosys.2012.04.004 10.1109/5.982411 10.1006/cviu.1996.0060 10.1016/j.eswa.2007.10.025 10.1016/j.eswa.2008.06.121 10.1080/01969720590961709 10.1016/j.measurement.2008.10.012 10.1016/j.knosys.2011.06.020 10.2352/J.ImagingSci.Technol.2012.56.1.010505 10.1016/S0957-4174(99)00038-X |
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| Keywords | t-Stochastic neighbour embedding Random forest Subjective quality assessment Variable importance Print quality |
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| Snippet | Information processing steps in printing industry are highly automated, except the last one—print quality assessment, which usually is a manual, tedious, and... Information processing steps in printing industry are highly automated, except the last oneaprint quality assessment, which usually is a manual, tedious, and... Information processing steps in printing industry are highly automated, except the last one print quality assessment, which usually is a manual, tedious, and... |
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| SubjectTerms | Color Print quality Random forest Subjective quality assessment t-Stochastic neighbour embedding Variable importance |
| Title | Assessing print quality by machine in offset colour printing |
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