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Sub-pixel displacement measurement based on the combination of a gray wolf optimizer and gradient algorithm

机译：基于灰狼优化器和梯度算法的组合的子像素位移测量

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摘要

The digital speckle correlation method (DSCM) aims to measure the displacement of the interesting points by matching the subset around the same point between the undeformed image and the deformed image. It is an effective and powerful optical metrology method for deformation measurement. Considering that the gray wolf optimizer (GWO) is one of the most popular metaheuristic algorithms to calculate the unknown search spaces in the field of optical engineering, a sub-pixel displacement measurement technique based on the GWO and gradient algorithm is proposed. First, the zero-mean normalized cross correlation function is applied to analyze the correlation between the reference image and deformed image subsets. Second, by exploiting the global searching ability of the GWO algorithm, the initial integer pixel value is obtained and further viewed as the initialization displacement. Finally, the final sub-pixel displacement is generated by using a Barron gradient algorithm. Compared with the state-of-the-art methods on synthetic speckle images, the proposed method can effectively measure the displacement and deformation of rigid bodies. Furthermore, the experiments on the real images demonstrate the effectiveness of our presented framework. (C) 2021 Optical Society of America
机译：数字散斑相关法（DSCM）的目的是通过匹配未变形图像和变形图像中相同点附近的子集来测量感兴趣点的位移。它是一种有效且功能强大的变形测量光学计量方法。考虑到灰太狼优化算法（GWO）是光学工程领域中计算未知搜索空间最常用的元启发式算法之一，提出了一种基于GWO和梯度算法的亚像素位移测量技术。首先，采用零均值归一化互相关函数分析参考图像和变形图像子集之间的相关性。其次，利用GWO算法的全局搜索能力，得到初始整像素值，并进一步将其视为初始位移。最后，使用Barron梯度算法生成最终的亚像素位移。与现有的合成散斑图像测量方法相比，该方法能有效地测量刚体的位移和变形。此外，在真实图像上的实验证明了该框架的有效性。（2021）美国光学学会

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  • 来源
    《Applied optics》 |2021年第4期|共11页
  • 作者

    Sun Long; Tang Chen; Xu Min; Lei Zhenkun;

  • 作者单位

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300072 Peoples R China;

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300072 Peoples R China;

    Tianjin Univ Sch Elect &

    Informat Engn Tianjin 300072 Peoples R China;

    Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

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