Publications:Soft Computing for Assessing the Quality of Colour Prints

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Title Soft Computing for Assessing the Quality of Colour Prints
Author Antanas Verikas and Marija Bacauskiene and Carl Magnus Nilsson
Year 2006
PublicationType Conference Paper
Journal
HostPublication Advances in applied artificial intelligence : proceedings
Conference 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Annecy, France, June 27-30, 2006
DOI http://dx.doi.org/10.1007/11779568_76
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239284
Abstract We present a soft computing techniques based option for assessing the quality of colour prints. The values of several print distortion attributes are evaluated by employing data clustering, support vector regression, and image analysis procedures and then 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 experts. The developed tools are successfully used in a printing shop for routine print quality control.