MACHINE VISION SYSTEM FOR SEAM WELD DETECTION IN LONGITUDINALLY WELDED PIPES

被引：0
|
作者：
Starovesi, Tomislav
Majetic, Dubravko
Udiljak, Toma
Mihljevic, Viktor
机构：
来源：
ANNALS OF DAAAM FOR 2008 & PROCEEDINGS OF THE 19TH INTERNATIONAL DAAAM SYMPOSIUM | 2008年
关键词：
machine vision; seam weld detection; edge detection; Hough transform;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the development of machine vision system fir seam weld defection in longitudinally welded pipes. The system is to be used for positioning operations prior to mechanical working of such parts. Application which uses several different approaches is developed fir this purpose. Experimental results show that robust seam weld defection system can be achieved using simple algorithms with low computational cost.
引用
收藏
页码：1303 / 1304
页数：2
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