Title :
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
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;
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
DOI :
10.1109/ITCS.2010.45