摘要
焊缝跟踪是焊接质量控制的一个重要内容。采用普通CCD摄像机配合窄带复合滤光器,拍摄出了GMAW根部间隙图像,根据对图像中根部间隙的特征分析,设计了图像处理算法,提取出了根部间隙边缘,获得了根部间隙的大小和焊枪对中信息,为下一步实现GMAW的焊缝跟踪奠定了基础。
Weld seam tracking is an important aspect of welding quality control and GMAW (gas metal arc welding) is widely used in industries. An image of root gap in GMAW was captured using CCD camera and composite filter lens. An algorithm was designed based on the analysis of gray characteristics of the root gap. Root gap edges could be extracted by the algorithm. Thus the gap and the deviation between torch and root gap centerline could be obtained. This work has laid a solid foundation to realize the GMAW weld seam tracking.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2005年第9期23-26,共4页
Transactions of The China Welding Institution
基金
山东大学青年基金资助项目
关键词
焊缝跟踪
根部间隙
熔化极气体保护焊
图像
Algorithms
Charge coupled devices
Computer simulation
Image processing
Quality control
Vision
作者简介
高进强，男，工学博士，副教授研究方向为焊接过程智能控制，发表论文20余篇。Email：jqg@sdu．edu．cn
