光学学报, 2019, 39 (4): 0412008, 网络出版: 2019-05-10
基于图像灰度信息的直线位移测量 
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Linear Displacement Measurement Based on Image Grayscale Information
机器视觉 视觉测量 位移测量 灰度与位移间的映射函数 非线性计算 machine vision vision measurement displacement measurement mapping function between grayscale and displacemen nonlinear calculation
摘要
提出了一种基于视觉的新型直线位移测量方法。建立了图像各像素点灰度值与直线运动位移间的映射函数模型,通过数值方法解算了直线运动平台的位移。通过蒙特卡罗仿真对所提方法进行分析,证明了其可行性与合理性。分析了检测点拓扑结构对测量精度的影响。实验结果表明,在10 mm的位移测量范围内,所提方法的测量误差标准差为4 μm。
Abstract
A new vision-based method for measuring linear displacement is proposed. The model of mapping function between the gray value of each pixel and the linear motion displacement is established. The displacement of the linear motion platform is obtained by the numerical method. The Monte Carlo method is used to analyze and verify the feasibility and rationality of the proposed method. In addition, the influence of detection point topology on the measurement accuracy is analyzed. The experimental results show that the standard deviation of the measurement error is 4 μm when the measurement range is 10 mm.
刘雪玲, 胡金春, 佟浩, 葛爱学, 杜胜武, 朱煜. 基于图像灰度信息的直线位移测量[J]. 光学学报, 2019, 39(4): 0412008. Xueling Liu, Jinchun Hu, Hao Tong, Aixue Ge, Shengwu Du, Yu Zhu. Linear Displacement Measurement Based on Image Grayscale Information[J]. Acta Optica Sinica, 2019, 39(4): 0412008.
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