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Features extraction of butt joint for tailored blank laser welding based on three-line stripe laser vision sensor

机译:基于三线条纹激光视觉传感器的特制毛坯激光对接焊缝特征提取

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In this paper, a measurement method for features extraction of butt joint for tailored blank laser welding based on three-line stripe laser vision sensor is proposed. The measurement system is composed of a laser stripe vision sensor and a control module. A three-line stripe laser, a CMOS camera and a LED lighting unit are used to constitute the laser stripe vision sensor. Laser lines and narrow weld joint are both recorded in the image by vision sensor. And then the image is sent to the control module for evaluating in order to obtain high quality raw images. Additionally, the image processing algorithms for extracting the features of weld joint are discussed depending on the characteristics of laser beam welding of tailored blanks and the algorithm is as follows: firstly, the original image is filtered by Laws texture energy filter; secondly, the edge of joint is extracted by Canny operator; thirdly, the laser stripe is segmented by threshold; lastly, textural feature and laser stripe information are fused for extracting feature points of butt joint. Experiments are well conducted to verify the effectiveness of the proposed method.
机译:提出了一种基于三线条纹激光视觉传感器的特制毛坯激光对接接头特征提取的测量方法。测量系统由激光条纹视觉传感器和控制模块组成。三线条纹激光器,CMOS摄像头和LED照明单元用于构成激光条纹视觉传感器。视觉传感器将激光线和窄焊缝都记录在图像中。然后将图像发送到控制模块进行评估,以获得高质量的原始图像。另外,针对激光焊接的特点,讨论了提取焊接接头特征的图像处理算法,其算法如下:首先,利用Laws纹理能量滤波器对原始图像进行滤波。其次,用Canny算子提取关节的边缘。第三,将激光条按阈值分割。最后,融合纹理特征和激光条纹信息以提取对接点的特征点。实验进行得很好,以验证所提出方法的有效性。

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