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A study of the precision factors &f large-scale object surface profile laser scanning measurement

机译:精度因素与大型物体表面轮廓激光扫描测量的研究

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摘要

In this paper, the authors present a method of using laser scanning triangulation for the non-contact 3D surface profile measurement of a large-scale object. The characteristics of large-scale object non-contact measurement are analyzed and a measuring method is proposed. Experimental work was performed to analyze the main factors influencing measurement precision such as image distortion and the accurate designation of a speckle center, and methods of solving these problems are proposed. To solve the problem of image distortion the authors designed a combined filter by which pulse noise and the Gaussian noise of the speckle image can be eliminated efficiently. Using the characteristics of the intensity distribution of the laser speckle image they proposed a new approximating method that can locate the center of the laser speckle image at the sub-pixel level. The auxiliary variables are set to linearize the relationship between the image displacement and the distance, accurate values of the laser triangulation system parameters can be calibrated accurately, and the measuring precision increased remarkably. Using the above techniques, a measuring system based on laser scanning triangulation was designed. The results of the experiment show that these methods can increase the measuring precision of a large-scale 3D surface profile effectively.
机译:在本文中,作者提出了一种使用激光扫描三角测量法对大型物体进行非接触式3D表面轮廓测量的方法。分析了大型物体非接触式测量的特点,提出了一种测量方法。进行了实验工作以分析影响测量精度的主要因素,例如图像失真和斑点中心的准确指定,并提出了解决这些问题的方法。为了解决图像失真的问题,作者设计了一种组合滤波器,可以有效消除斑点图像的脉冲噪声和高斯噪声。他们利用激光散斑图像强度分布的特征,提出了一种新的近似方法,可以将激光散斑图像的中心定位在子像素级别。设置辅助变量以使图像位移和距离之间的关系线性化,可以精确地校准激光三角测量系统参数的准确值,并显着提高测量精度。利用以上技术,设计了一种基于激光扫描三角测量的测量系统。实验结果表明,这些方法可以有效地提高大型3D表面轮廓的测量精度。

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