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A Study of Precision Factors of Large-scale Object Surface Profile Laser Scanning Measurement

机译:大型物体表面轮廓激光扫描测量精度因素的研究

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In this paper, we presented a method of using the laser scanning triangulation for the non-contact 3Drnsurface profile measurement of large-scale object. The characteristic of large-scale object non-contactrnmeasurement is analyzed and the measuring method is proposed. Main factors influencing measurement precisionrnsuch as image distortion and accurate designation of speckle center are analyzed and methods of solving thesernproblems are proposed. We designed a combined filter by which the pulse noise and the Gaussian noise of specklernimage can be eliminated efficiently. Using the characteristic of intensity distribution of laser speckle image wernproposed a new approximating method that could locate the center of laser speckle image at sub-pixel. Thernauxiliary variables are set to linearize the relationship between the image displacement and the distance, thernaccurate values of laser triangulation system parameters could be calibrated accurately and the measuringrnprecision is increased remarkably. Using the above techniques we designed a measuring system based on laserrnscanning triangulation. The results of the experiment show that these methods can raise the measuring precisionrnof large-scale 3D surface profile effectively.
机译:在本文中,我们提出了一种使用激光扫描三角测量法进行大型物体非接触式3Drnsurface轮廓测量的方法。分析了大型物体非接触式测量的特点,提出了测量方法。分析了影响测量精度的主要因素,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。我们设计了一种组合滤波器,可有效消除斑点图像的脉冲噪声和高斯噪声。利用激光散斑图像强度分布的特点,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上。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精确值,并显着提高测量精度。利用以上技术,我们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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