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Digital image correlation with reduced bias error based on digital signal upsampling theory

机译:基于数字信号上采样理论的数字图像相关性与减少偏置误差

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摘要

Based on digital signal upsampling theory, a new computing strategy has been proposed to reduce the bias error in digital image correlation (DIC) caused by intensity interpolation. For each subset, before subpixel image matching, the subimage around the target subset was processed by increasing the sampling rate with an integer factor. The increase of the sampling rate is realized by resampling in the digital domain. The combination of digital signal upsampling processing with DIC can greatly reduce the interpolation bias error. The measurement accuracy of the proposed computing strategy was investigated in this study. Both numerical experiments and real-world experiments have been conducted in order to verify the effectiveness of the proposed computing strategy. The results indicate that the bias error can be significantly reduced without sacrificing the standard deviation error. With the proposed computing strategy, high-accuracy DIC measurement with near-negligible bias error is expected. (C) 2019 Optical Society of America
机译:基于数字信号上采样理论,已经提出了一种新的计算策略来减少由强度插值引起的数字图像相关(DIC)中的偏置误差。对于每个子集,在子像素匹配之前,通过增加具有整数因子的采样率来处理目标子集周围的子图。通过在数字域中重新采样来实现采样率的增加。 DIC的数字信号上采样处理的组合可以大大降低插值偏置误差。本研究研究了所提出的计算策略的测量准确性。已经进行了数值实验和现实世界的实验,以验证所提出的计算策略的有效性。结果表明,在不牺牲标准偏差误差的情况下,可以显着降低偏差误差。利用所提出的计算策略,预期高精度的DIC测量,预计具有近可忽略的偏置误差。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第15期|共12页
  • 作者单位

    Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Dept Engn Mech Nanjing 210096 Jiangsu Peoples R China;

    Southeast Univ Dept Engn Mech Nanjing 210096 Jiangsu Peoples R China;

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  • 正文语种 eng
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