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An adaptive thresholding for weld seam image recognition in real time
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作者 Chen Qiang and Jin Jianmin(Tsinghua University. Bejing)Jens Doerk(Aachen University. Germany) 《China Welding》 EI CAS 1995年第2期107-112,共6页
Image prooessing of wehl seam in real time is an importunity to make welding rohot be able to track weld seam. The algorithm described in this paper combines some image technologies, such as modified Sobel edge detect... Image prooessing of wehl seam in real time is an importunity to make welding rohot be able to track weld seam. The algorithm described in this paper combines some image technologies, such as modified Sobel edge detector and Hough transformation function, and especially the thresholds for image processing are ore aled adaptively by Ineans of a neural network. aests proved that this algorithm has a high reliability and rapidity in distinguishing the position of weld seam even with noises. The algorithm can be used ac the basic program .for robot to track welding seam and furthermore for calculating 3 dimensional information plan robot movement automatically. 展开更多
关键词 seam tracking. welding robot image process. welding automation
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