Title :
An Experimental Machine Vision System for Quality Control of Industrial Colour Printer
Author :
Amini, Mohammad ; Shanbehzadeh, Jamshid
Author_Institution :
Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
Quality control is the final process in the product line; therefore, it is of the utmost importance. To evaluate the industrial print characteristics it is necessary to analyze the scanned micro-samples of the printing sheets. The accuracy of the micro-sample indicates the high quality of prints. In this paper, the authors propose a high quality image acquisition and an algorithm to automate the color prints inspection process, which employs multi-thresholding on HSI color space for color image processing and mathematical and statistical techniques for feature extraction.
Keywords :
feature extraction; image colour analysis; printers; printing industry; quality control; color image processing; feature extraction; image acquisition; industrial colour printer; machine vision system; mathematical technique; printing sheets microsamples; quality control; statistical technique; Color; Electrical equipment industry; Feature extraction; Industrial control; Inspection; Machine vision; Machinery production industries; Printers; Printing; Quality control; Quality control; feature extraction; image acquisition; industrial colour prints; mathematical and Statistical technique; micro-sample; print characteristic;
Conference_Titel :
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3944-7
Electronic_ISBN :
978-1-4244-5645-1
DOI :
10.1109/ICMV.2009.59
