Main > Acta Optica Sinica >  Volume 38 >  Issue 8 >  Page 0812002 > Article
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  • Received: Dec. 11, 2017

    Accepted: Mar. 24, 2018

    Posted: May. 9, 2019

    Published Online: Sep. 6, 2018

    The Author Email:

    DOI: 10.3788/AOS201838.0812002

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    Chenglin Zheng, Dingding He, Qingguo Fei. Improved Digital Image Correlation Method Based on Gray Gradient Denoised by Regularization Method[J]. Acta Optica Sinica, 2018, 38(8): 0812002

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Acta Optica Sinica, Vol. 38, Issue 8, 0812002 (2018)

Improved Digital Image Correlation Method Based on Gray Gradient Denoised by Regularization Method

Zheng Chenglin1,3,*, He Dingding2,3, and Fei Qingguo1,3,*

Author Affiliations

  • 1 School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu 211189, China
  • 2 School of Civil Engineering, Southeast University, Nanjing, Jiangsu 210096, China
  • 3 Institute of Aerospace Machinery and Dynamics, Southeast University, Nanjing, Jiangsu 211189, China

Abstract

To improve the anti-noise ability of the digital image correlation method, we analyze the influence of gray gradient calculation error on the measurement accuracy of the digital image correlation method. An improved algorithm is proposed to calculate the gray gradient of the image by the Tikhonov regularization method and the sub-pixel displacement of the image by the inverse compositional Gauss-Newton (IC-GN) method. On the basis of the numerical simulation of the speckle pattern, the relative calculation error of the gray gradient is studied, and the measurement accuracy of the digital image correlation method is analyzed after calculating the gray gradient of the image by the Tikhonov regularization method. The proposed method is verified by experiments in the noise environment. The results show that the gray gradient has great influence on the measurement accuracy of the digital image correlation method. Meanwhile, the measurement accuracy and the anti-noise ability of the digital image correlation method can be effectively improved by the Tikhonov regularization method.

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