DocumentCode :
3361522
Title :
The research of printing´s image defect inspection based on machine vision
Author :
Fucheng, You ; Lifan, Zhang ; Yongbin, Zhang
Author_Institution :
Coll. of Inf. & Mech. Eng., Beijing Inst. of Graphic Commun., Beijing, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
2404
Lastpage :
2408
Abstract :
There may be printing´s image defect in printing during the course of print. It is absolutely necessary for Print Corporation to inspect printing with defect. Traditionary printing defect inspection is usually completed by manpower, whose inspect quality is instability, and inspect efficiency is low. The paper proposed a method of printing´s image defect inspection based on machine vision, sot up an experiment system. Familiar printing defects such as filar defects, zonal defects, punctuate defects and block defects are inspected in the experiment, which proves practicability of the method and has value of extend application.
Keywords :
computer vision; image recognition; block defects; filar defects; inspect efficiency; inspect quality; machine vision; printing image defect inspection; punctuate defects; zonal defects; Inspection; Machine vision; Printing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246130
Filename :
5246130
Link To Document :
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