Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181012(2020)
Initial Value Estimation of Digital Image Correlation Method in Deformation Measurement Based on Feature Matching
The selection of initial values in digital image correlation (DIC) method has a great influence on the search efficiency of image subpixel displacement and the algorithmic convergence speed. A new digital image correlation method based on KAZE feature matching, namely KAZE algorithm, is proposed in this paper. Compared with the traditional feature detection algorithm, the KAZE algorithm can eliminate noise and extract feature points by establishing nonlinear scale space, which can effectively avoid boundary blurring and detail loss. The coordinates of feature points before and after image deformation are matched by the KAZE algorithm, and the initial deformation parameters are estimated by affine transformation; the inverse combined Gaussian Newton method is used to iteratively optimize the estimated initial values. The results show that this method has higher search efficiency than traditional methods without precision loss.
Get Citation
Copy Citation Text
Tiantian Zhu, Zhongnan Fu, Mei Zhang, Pei Ye, Guihua Li. Initial Value Estimation of Digital Image Correlation Method in Deformation Measurement Based on Feature Matching[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181012
Category: Image Processing
Received: Jan. 10, 2020
Accepted: Feb. 14, 2020
Published Online: Sep. 2, 2020
The Author Email: Li Guihua (guihuali1@163.com)