Soft Computing for Assessing the Quality of Colour Prints

Autor:	Marija Bacauskiene, Antanas Verikas, Carl-Magnus Nilsson
Rok vydání:	2006
Předmět:	Soft computing Measure (data warehouse) Computer science media_common.quotation_subject Distortion ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Image processing Quality (business) Data mining computer.software_genre computer media_common
Zdroj:	Advances in Applied Artificial Intelligence ISBN: 9783540354536 IEA/AIE
DOI:	10.1007/11779568_76
Popis:	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.
Databáze:	OpenAIRE
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