Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach

Corneliu Cofaru; Wilfried Philips; Wim Van Paepegem

doi:10.1117/12.892699

24 September 2011 Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach

Corneliu Cofaru, Wilfried Philips, Wim Van Paepegem

Author Affiliations +

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 81351G (2011) https://doi.org/10.1117/12.892699
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Digital image processing methods represent a viable and well acknowledged alternative to strain gauges and interferometric techniques for determining full-field displacements and strains in materials under stress. This paper presents an image adaptive technique for dense motion and strain estimation using high-resolution speckle images that show the analyzed material in its original and deformed states. The algorithm starts by dividing the speckle image showing the original state into irregular cells taking into consideration both spatial and gradient image information present. Subsequently the Newton-Raphson digital image correlation technique is applied to calculate the corresponding motion for each cell. Adaptive spatial regularization in the form of the Geman- McClure robust spatial estimator is employed to increase the spatial consistency of the motion components of a cell with respect to the components of neighbouring cells. To obtain the final strain information, local least-squares fitting using a linear displacement model is performed on the horizontal and vertical displacement fields. To evaluate the presented image partitioning and strain estimation techniques two numerical and two real experiments are employed. The numerical experiments simulate the deformation of a specimen with constant strain across the surface as well as small rigid-body rotations present while real experiments consist specimens that undergo uniaxial stress. The results indicate very good accuracy of the recovered strains as well as better rotation insensitivity compared to classical techniques.

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Corneliu Cofaru, Wilfried Philips, and Wim Van Paepegem "Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81351G (24 September 2011); https://doi.org/10.1117/12.892699

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