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	基于粒子滤波的结构光实时焊缝跟踪技术
	郑军 ; 潘际銮 ; ZHENG Jun ; PAN Ji-luan
	2010-05-13 ; 2010-05-13
关键词	焊缝跟踪 结构光 粒子滤波 图像处理 实时 welding track structure light particle filtering image process real-time TP274
其他题名	Particle Filtering Based Real-time Welding Structure Light Track Technique
中文摘要	针对弧焊中的电弧、飞溅等强光干扰,提出了一种结构光焊缝跟踪实时图像处理技术,研制出焊缝跟踪视觉传感器.首先对焊缝特征区域进行识别和捕获,提取焊缝特征模板,利用焊缝序列图像的相关性对焊缝位置变化进行观测,并对其后验概率进行评价;在此基础上,采用粒子滤波对焊缝实现实时跟踪.结果表明,其相关品配能够有效地消除弧光、飞溅的干扰,其焊缝特征模板的实时更新使得焊缝跟踪能够适应形状变化的焊缝,其特征区域约束和快速相关算法能够有效地提高跟踪的实时性.将所研究的系统在PC104(PIII 1.6 GB)处理平台上,于弧焊接距离传感器20mm且无遮挡情况下进行实验测试,结果发现其跟踪效果良好,每帧处理速度达10 ms,焊缝跟踪精度达0.5 mm.; In view of the strong disturbs of arc glare and splash during welding process,a real-time image processing technique for welding track was proposed. In this technique,a welding characteristic template is extracted in the pro-recognized welding region,and the correlation between this template and the following serial welding images is calculated to find the position variation of the welding joint.Based on this,the particle filtering method is employed to give a real-time welding track.With the feature of correlation method,this technique can effectively eliminate the impact of the strong disturbance during welding process;with the varying template updated from field welding scene,this technique can adapt the changing welded joint shape;and with the modified correlation algorithm,this technique can give a fast and real time welding tracking.On the platform of PC104(PIII 1.6 GB),in a distance of 20 mm from the sensor to the welding point,this system gives a good performance of welding track,and reached a speed of 10 ms per frame,and an accuracy of 0.5 mm.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/30787]
专题	清华大学
推荐引用方式 GB/T 7714	郑军,潘际銮,ZHENG Jun,等. 基于粒子滤波的结构光实时焊缝跟踪技术[J],2010, 2010.
APA	郑军,潘际銮,ZHENG Jun,&PAN Ji-luan.(2010).基于粒子滤波的结构光实时焊缝跟踪技术..
MLA	郑军,et al."基于粒子滤波的结构光实时焊缝跟踪技术".(2010).

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