An Intelligent Online Presswork Defect Detection Method and System

Author

Peng, Xiangqian ; Chen, Youping ; Xie, Jingming ; Liu, Huaiguang ; Gu, Chenlin

Author_Institution

Sch. of Mech. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

24-25 July 2010

Firstpage

158

Lastpage

161

Abstract

With the improvement of printing precise and printing speed, manual quality checking is unable to satisfy the demand of high speed printing quality checking. This paper presents a real-time presswork defect detection method and system based on machine vision. It designs an image fusion-basing fiducially image dynamic updating method, uses multi-channel image subtraction to segment defects, and presents a fake defects removing method based on image contour. The real application shows that this inspection method and system is efficient and valid.

Keywords

computer vision; computerised monitoring; flaw detection; image fusion; image segmentation; inspection; printing; production engineering computing; image contour; image dynamic updating method; image fusion; image segmentation; inspection method; intelligent system; machine vision; multichannel image subtraction; online detection; presswork defect detection method; printing quality checking; Color; Humans; Image color analysis; Image segmentation; Ink; Inspection; Printing; Fake Defects; Image Fusion; Online Detection; Printing Defect;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Computer Science (ITCS), 2010 Second International Conference on

Conference_Location

Kiev

Print_ISBN

978-1-4244-7293-2

Electronic_ISBN

978-1-4244-7294-9

Type

conf

DOI

10.1109/ITCS.2010.45

Filename

5557305