A New Fast Border Search Algorithm and Its Expansion

被引：7
|
作者：
Zhang, Haichao [1 ]
Wu, Guifang [2 ]
Sun, Xiuming [2 ]
Xu, Jinwu [3 ]
Xu, Ke [3 ]
机构：
[1] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China
[2] Huazhong Univ Sci & Technol, Elect Informat Engn Coll, Wuhan 430074, Peoples R China
[3] Univ Sci & Technol, Sch Mech Engn, Beijing, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2007年
关键词：
border search; cold rolled strip; on-line surface inspection; image processing; defect detection;
D O I：
10.1109/ICAL.2007.4338881
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Because of high real-time requirement for an on-line surface inspection system, traditional algorithms cannot meet the requirement. According to border search theory, a new fast border-detection algorithm named Local Border Search Algorithm (LBSA) was presented here, and it can detect border of cold rolled strips as 10 times fast as traditional Gray Level Gradient Threshold Algorithm (GLGTA). However it is still short in some aspects and makes the algorithm can be only used in border searching of strips. In order to overcome shortages of the algorithm, it is improved and expanded in the paper, and after the expansion of Local Border Search Algorithm, it can be used to detect defects of cold rolled strips, and experimental results show that the speed is about 10 times faster and more accurate in defect detection than traditional defect detection algorithm. Therefore, it is suitable to be used in real-time detection occasions.
引用
收藏
页码：1886 / +
页数：2
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