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

fYear

2009

fDate

28-30 Dec. 2009

Firstpage

225

Lastpage

228

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMV.2009.59

Filename

5381118