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

Corneliu Cofaru (UGent) , Wilfried Philips (UGent) and Wim Van Paepegem (UGent)
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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.
Keywords
Digital Image Correlation (DIC), DISPLACEMENT, OPTICAL-FLOW, speckle image, adaptive cells, Newton-Raphson, regularization

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Chicago
Cofaru, Corneliu, Wilfried Philips, and Wim Van Paepegem. 2011. “Dense and Accurate Motion and Strain Estimation in High Resolution Speckle Images Using an Image-adaptive Approach.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. Andrew G Tescher. Vol. 8135. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Cofaru, C., Philips, W., & Van Paepegem, W. (2011). Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach. In A. G. Tescher (Ed.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 8135). Presented at the Conference on Applications of Digital Image Processing XXXIV, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Cofaru C, Philips W, Van Paepegem W. Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach. In: Tescher AG, editor. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2011.
MLA
Cofaru, Corneliu, Wilfried Philips, and Wim Van Paepegem. “Dense and Accurate Motion and Strain Estimation in High Resolution Speckle Images Using an Image-adaptive Approach.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. Andrew G Tescher. Vol. 8135. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2011. Print.
@inproceedings{1081498,
  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.},
  articleno    = {81351G},
  author       = {Cofaru, Corneliu and Philips, Wilfried and Van Paepegem, Wim},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Tescher, Andrew G},
  isbn         = {9780819487452},
  issn         = {0277-786X},
  keywords     = {Digital Image Correlation (DIC),DISPLACEMENT,OPTICAL-FLOW,speckle image,adaptive cells,Newton-Raphson,regularization},
  language     = {eng},
  location     = {San Diego, CA, USA},
  pages        = {11},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach},
  url          = {http://dx.doi.org/10.1117/12.892699},
  volume       = {8135},
  year         = {2011},
}

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