A Codebook Based Background Subtraction Method for Image Defects Detection

被引:3
|
作者
Zhang, Lianjun [1 ]
Lu, Yao [1 ]
Chen, Mukai [1 ]
Zou, Wencai [1 ]
机构
[1] Beijing Inst Technol, Sch Comp Sci, Beijing Lab Intelligent Informat Technol, Beijing, Peoples R China
来源
2014 TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2014年
关键词
printed image; clutterd background; background modeling; foreground detection; Codebook;
D O I
10.1109/CIS.2014.154
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:704 / 706
页数:3
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