Lens distortion correction for digital image correlation by measuring rigid body displacement

A method of lens distortion correction is proposed in order to improve the measurement accuracy of digital image correlation for two-dimensional displacement measurement. The amounts of lens distortion are evaluated from displacement distributions obtained in a rigid body in-plane translation or rotation test. After detecting the lens distortion, its coefficient is determined using the method of least squares. Then, the corrected displacement distributions are obtained. The effectiveness of the proposed method is demonstrated by applying the correction method to an in-plane translation test and tension tests. The experimental results show that the proposed distortion correction method eliminates the effect of lens distortion from measured displacements.

[1]  Christian Bräuer-Burchardt A Simple New Method for Precise Lens Distortion Correction of Low Cost Camera Systems , 2004, DAGM-Symposium.

[2]  M. Sutton,et al.  Full-field speckle pattern image correlation with B-Spline deformation function , 2002 .

[3]  Leonardo Romero,et al.  Correcting Radial Lens Distortion Using Image and Point Correspondences , 2003, CIARP.

[4]  Hugh Alan Bruck,et al.  Digital image correlation using Newton-Raphson method of partial differential correction , 1989 .

[5]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Hiroshi Naruse,et al.  Simple Calibration Algorithm for High-Distortion Lens Camera , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  W. F. Ranson,et al.  Determination of displacements using an improved digital correlation method , 1983, Image Vis. Comput..

[8]  Kenji Machida,et al.  Automatic Stress Analyzing System by Digital Speckle Photography Using 2-D Hybrid Method , 2004 .

[9]  W. Peters,et al.  Digital Imaging Techniques In Experimental Stress Analysis , 1982 .

[10]  Yoshiharu Morimoto,et al.  Accurate Displacement Measurement by Correlation of Colored Random Patterns , 2003 .

[11]  Jing Fang,et al.  Damage and fracture prediction of plastic-bonded explosive by digital image correlation processing , 2005 .

[12]  Wolfgang G. Knauss,et al.  Nonlinearly Viscoelastic Behavior of Polycarbonate. I. Response under Pure Shear , 2002 .

[13]  Chern-Sheng Lin,et al.  Lens distortion correction by adjusting image of calibration target , 2002 .

[14]  G. Vendroux,et al.  Submicron deformation field measurements: Part 2. Improved digital image correlation , 1998 .

[15]  Yuh J. Chao,et al.  Advances in Two-Dimensional and Three-Dimensional Computer Vision , 2000 .

[16]  J. Kalthoff,et al.  An experimental study of the deformation fields around a propagating crack tip , 1998 .

[17]  G. F. McLean,et al.  Line-Based Correction of Radial Lens Distortion , 1997, CVGIP Graph. Model. Image Process..

[18]  Go Murasawa,et al.  Distribution of Unique Performances for Shape Memory Alloy Composite , 2004 .

[19]  Guangjun Zhang,et al.  Distortion correction for a wide-angle lens based on real-time digital image processing , 2003 .

[20]  Hugh A. Bruck,et al.  Pointwise digital image correlation using genetic algorithms , 2005 .