基于图像灰度信息的直线位移测量
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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4μm。
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.
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.
引文
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[3] Xu Y,Brownjohn J M W.Review of machine-vision based methodologies for displacement measurement in civil structures[J].Journal of Civil Structural Health Monitoring,2018,8(1):91-110.
[4] Duan Z Y,Wang N,Zhao W H,et al.Calibration method based on lattice calibration plate in vision measurement system[J].Acta Optica Sinica,2016,36(5):0515004.段振云,王宁,赵文辉,等.基于点阵标定板的视觉测量系统的标定方法[J].光学学报,2016,36(5):0515004.
[5] Dai T,Zhu C R,Hu S P.Review of image matching technology[J].Digital Technology & Application,2012(3):174-175,177.戴涛,朱长仁,胡树平.图像匹配技术综述[J].数字技术与应用,2012(3):174-175,177.
[6] Lu G L,Zhu Y B,Su G Z,et al.Efficient block matching using improved particle swarm optimization with application to displacement measurement for nano motion systems[J].Optics and Lasers in Engineering,2018,111:246-254.
[7] Wu H,Zhang X M,Gan J Q,et al.Displacement measurement system for inverters using computer micro-vision[J].Optics and Lasers in Engineering,2016,81:113-118.
[8] Hu H,Luo G E.Study of image matching based on phase correlation algorithm[J].Microcomputer & Its Applications,2013,32(7):5-7.胡海,罗桂娥.基于相位相关的图像匹配算法研究[J].微型机与应用,2013,32(7):5-7.
[9] Wang H,Zhao J,Zhao J W,et al.A new rapid-precision position measurement method for a linear motor mover based on a 1-d EPCA[J].IEEE Transactions on Industrial Electronics,2018,65(9):7485-7494.
[10] Feng C.Research on identification and location of object based on monocular vision[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2013.冯春.基于单目视觉的目标识别与定位研究[D].南京:南京航空航天大学,2013.
[11] Su J D,Qi X H,Duan X S.Plane pose measurement method based on monocular vision and checkerboard target[J].Acta Optica Sinica,2017,37(8):0815002.苏建东,齐晓慧,段修生.基于单目视觉和棋盘靶标的平面姿态测量方法[J].光学学报,2017,37(8):0815002.
[12] Lu X D,Rao N K,Usman I U R.Six-axis position measurement system for levitated motion stages[J].CIRP Annals-Manufacturing Technology,2013,62(1):507-510.
[13] Park S W,Park H S,Kim J H,et al.3D displacement measurement model for health monitoring of structures using a motion capture system[J].Measurement,2015,59:352-362.
[14] Zhao L J,Liu E H,Zhang W M,et al.Feature extraction of target based on global information[J].Acta Optica Sinica,2014,34(4):0415001.赵连军,刘恩海,张文明,等.利用全局信息提取靶标特征的方法[J].光学学报,2014,34(4):0415001.
[15] Du S W,Hu J C,Zhu Y,et al.A hall sensor-based position measurement with on-line model parameters computation for permanent magnet synchronous linear motor[J].IEEE Sensors Journal,2018,18(13):5245-5255.
[16] Chen L M,Hu J C,Zhu Y,et al.A 6-DOF measurement solution for permanent magnet synchronous planar motors based on motion continuity principle[J].IEEE Transactions on Instrumentation and Measurement,2016,65(3):643-655.