Camera system resolution and its influence on digital image correlation
Abstract
Digital image correlation (DIC) uses images from a camera and lens system to make quantitative measurements of the shape, displacement, and strain of test objects. This increasingly popular method has had little research on the influence of the imaging system resolution on the DIC results. This paper investigates the entire imaging system and studies how both the camera and lens resolution influence the DIC results as a function of the system Modulation Transfer Function (MTF). It will show that when making spatial resolution decisions (including speckle size) the resolution limiting component should be considered. A consequence of the loss of spatial resolution is that the DIC uncertainties will be increased. This is demonstrated using both synthetic and experimental images with varying resolution. The loss of image resolution and DIC accuracy can be compensated for by increasing the subset size, or better, by increasing the speckle size. The speckle-size and spatial resolution are now a function of the lens resolution rather than the more typical assumption of the pixel size. The study will demonstrate the tradeoffs associated with limited lens resolution.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1114600
- Report Number(s):
- SAND-2013-8737J
Journal ID: ISSN 0014-4851; PII: 9886
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Experimental Mechanics
- Additional Journal Information:
- Journal Volume: 55; Journal Issue: 1; Related Information: Proposed for publication in Experimental Mechanics.; Journal ID: ISSN 0014-4851
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION; digital image correlation; uncertainty quantification; optical measurements; full-field measurement; lens resolution
Citation Formats
Reu, Phillip L., Sweatt, William, Miller, Timothy, and Fleming, Darryn. Camera system resolution and its influence on digital image correlation. United States: N. p., 2014.
Web. doi:10.1007/s11340-014-9886-y.
Reu, Phillip L., Sweatt, William, Miller, Timothy, & Fleming, Darryn. Camera system resolution and its influence on digital image correlation. United States. https://doi.org/10.1007/s11340-014-9886-y
Reu, Phillip L., Sweatt, William, Miller, Timothy, and Fleming, Darryn. 2014.
"Camera system resolution and its influence on digital image correlation". United States. https://doi.org/10.1007/s11340-014-9886-y. https://www.osti.gov/servlets/purl/1114600.
@article{osti_1114600,
title = {Camera system resolution and its influence on digital image correlation},
author = {Reu, Phillip L. and Sweatt, William and Miller, Timothy and Fleming, Darryn},
abstractNote = {Digital image correlation (DIC) uses images from a camera and lens system to make quantitative measurements of the shape, displacement, and strain of test objects. This increasingly popular method has had little research on the influence of the imaging system resolution on the DIC results. This paper investigates the entire imaging system and studies how both the camera and lens resolution influence the DIC results as a function of the system Modulation Transfer Function (MTF). It will show that when making spatial resolution decisions (including speckle size) the resolution limiting component should be considered. A consequence of the loss of spatial resolution is that the DIC uncertainties will be increased. This is demonstrated using both synthetic and experimental images with varying resolution. The loss of image resolution and DIC accuracy can be compensated for by increasing the subset size, or better, by increasing the speckle size. The speckle-size and spatial resolution are now a function of the lens resolution rather than the more typical assumption of the pixel size. The study will demonstrate the tradeoffs associated with limited lens resolution.},
doi = {10.1007/s11340-014-9886-y},
url = {https://www.osti.gov/biblio/1114600},
journal = {Experimental Mechanics},
issn = {0014-4851},
number = 1,
volume = 55,
place = {United States},
year = {Sun Sep 21 00:00:00 EDT 2014},
month = {Sun Sep 21 00:00:00 EDT 2014}
}
Web of Science
Works referenced in this record:
Systematic errors in digital image correlation due to undermatched subset shape functions
journal, September 2002
- Schreier, Hubert W.; Sutton, Michael A.
- Experimental Mechanics, Vol. 42, Issue 3
Statistical Analysis of the Effect of Intensity Pattern Noise on the Displacement Measurement Precision of Digital Image Correlation Using Self-correlated Images
journal, January 2007
- Wang, Z. Y.; Li, H. Q.; Tong, J. W.
- Experimental Mechanics, Vol. 47, Issue 5
Quantitative Error Assessment in Pattern Matching: Effects of Intensity Pattern Noise, Interpolation, Strain and Image Contrast on Motion Measurements
journal, April 2009
- Wang, Y. Q.; Sutton, M. A.; Bruck, H. A.
- Strain, Vol. 45, Issue 2
On Error Assessment in Stereo-based Deformation Measurements: Part I: Theoretical Developments for Quantitative Estimates
journal, February 2011
- Wang, Y. -Q.; Sutton, M. A.; Ke, X. -D.
- Experimental Mechanics, Vol. 51, Issue 4
Error Assessment in Stereo-based Deformation Measurements: Part II: Experimental Validation of Uncertainty and Bias Estimates
journal, February 2011
- Ke, X. -D.; Schreier, H. W.; Sutton, M. A.
- Experimental Mechanics, Vol. 51, Issue 4
Assessment of Digital Image Correlation Measurement Errors: Methodology and Results
journal, December 2008
- Bornert, M.; Brémand, F.; Doumalin, P.
- Experimental Mechanics, Vol. 49, Issue 3
Assessment of Digital Image Correlation Measurement Accuracy in the Ultimate Error Regime: Main Results of a Collaborative Benchmark: Benchmark on Digital Image Correlation Ultimate Error
journal, September 2013
- Amiot, F.; Bornert, M.; Doumalin, P.
- Strain, Vol. 49, Issue 6
An Evaluation of Digital Image Correlation Criteria for Strain Mapping Applications
journal, November 2005
- Tong, W.
- Strain, Vol. 41, Issue 4
Advances in light microscope stereo vision
journal, June 2004
- Schreier, H. W.; Garcia, D.; Sutton, M. A.
- Experimental Mechanics, Vol. 44, Issue 3
Impact of lens distortions on strain measurements obtained with 2D digital image correlation
journal, May 2013
- Lava, P.; Van Paepegem, W.; Coppieters, S.
- Optics and Lasers in Engineering, Vol. 51, Issue 5
Main results of the First International PIV Challenge
journal, September 2003
- Stanislas, M.; Okamoto, K.; K. hler, C.
- Measurement Science and Technology, Vol. 14, Issue 10
Experimental and Numerical Methods for Exact Subpixel Shifting
journal, November 2010
- Reu, P. L.
- Experimental Mechanics, Vol. 51, Issue 4
Systematic errors in digital image correlation caused by intensity interpolation
journal, November 2000
- Schreier, Hubert W.
- Optical Engineering, Vol. 39, Issue 11
Stress intensity factor measurements from digital image correlation: post-processing and integrated approaches
journal, July 2006
- Roux, Stéphane; Hild, François
- International Journal of Fracture, Vol. 140, Issue 1-4
Works referencing / citing this record:
Multiscale deformation measurements using multispectral optical metrology
journal, March 2018
- Mathew, Melvin; Ellenberg, Andrew; Esola, Shane
- Structural Control and Health Monitoring, Vol. 25, Issue 6
An Accurate Method for Shape Retrieval and Displacement Measurement Using Bi-Prism-Based Single Lens 3D Digital Image Correlation
journal, August 2016
- Wu, L. F.; Zhu, J. G.; Xie, H. M.
- Experimental Mechanics, Vol. 56, Issue 9
Monitoring the fatigue crack growth behavior of composite joints using in situ 2D-digital image correlation
journal, January 2019
- Thäsler, T.; Holtmannspötter, J.; Gudladt, H. -J.
- The Journal of Adhesion, Vol. 95, Issue 5-7
Evaluating the use of digital image correlation for strain measurement in historic tapestries using representative deformation fields
journal, February 2019
- Alsayednoor, Jafar; Harrison, Philip; Dobbie, Maggie
- Strain, Vol. 55, Issue 2
A Comprehensive Set of Impact Data for Common Aerospace Metals
journal, September 2017
- Brake, M. R. W.; Reu, P. L.; Aragon, D. S.
- Journal of Computational and Nonlinear Dynamics, Vol. 12, Issue 6
Optimized digital speckle patterns for digital image correlation by consideration of both accuracy and efficiency
journal, January 2018
- Chen, Zhenning; Shao, Xinxing; Xu, Xiangyang
- Applied Optics, Vol. 57, Issue 4
How Soft Polymers Cope with Cracks and Notches
journal, March 2019
- Spagnoli, Andrea; Terzano, Michele; Brighenti, Roberto
- Applied Sciences, Vol. 9, Issue 6
Comparative investigation of reusable and single–use flexible endoscopes for urological interventions
journal, March 2020
- Eisel, Maximilian; Strittmatter, Frank; Ströbl, Stephan
- Scientific Reports, Vol. 10, Issue 1