DocumentCode
235020
Title
A Codebook Based Background Subtraction Method for Image Defects Detection
Author
Lianjun Zhang ; Yao Lu ; Mukai Chen ; Wencai Zou
Author_Institution
Beijing Lab. of Intell. Inf. Technol., Beijing Inst. of Technol., Beijing, China
fYear
2014
fDate
15-16 Nov. 2014
Firstpage
704
Lastpage
706
Abstract
Detection of defects in printing is important in precise print industry. The problem is almost equal to detecting the foreground objectives from cluttered background in video surveillance. It has the same problem of background minor motions. The difficulty lies in how to detect the unknown flaws under complicated background effectively. Inspired by the background modeling approaches for moving objects detection, a background modeling method based on Codebook modeling method in defect detection of printed image is suggested in this paper. The wished printing pattern is defined as background and the exceptional flaw pixels are defined as foreground.
Keywords
object detection; video surveillance; background minor motions; background modeling method; codebook based background subtraction method; codebook modeling method; complicated background; exceptional flaw pixels; foreground objective detection; image defects detection; moving objects detection; print industry; printed image; video surveillance; wished printing pattern; Adaptation models; Brightness; Computational modeling; Image color analysis; Printing; Real-time systems; Robustness; background modeling; clutterd background; codebook; foreground detection; image;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4799-7433-7
Type
conf
DOI
10.1109/CIS.2014.154
Filename
7016988
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