AN ADVANCED COARSE-FINE SEARCH APPROACH FOR DIGITAL IMAGE CORRELATION APPLICATIONS
Abstract
Keywords
Full Text:
PDFReferences
Pan, B., Qian, K., Xie, H., Asundi, A., 2009, Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review, Measurement Science and Technology, 20(6), pp. 1-17.
Schreier, H., Orteu, J.-J., Sutton, M. A., 2009, Image Corelation for Shape, Motion and Deformation Measurements, Springer.
Razi, H., Birkhold, A. I., Zehn, M., Duda, G. N., Willie, B. M., Checa, S., 2014, A finite element model of in vivo mouse tibial compression loading: influence of boundary conditions, Facta Univesitatis Series Mechanical Engineering, 12(3), pp. 195-207.
Simončič, S., Klobčar, D., Podrţaj, P., 2015, Kalman filter based initial guess estimation for digital image correlation, Optics and Lasers in Engineering, 73, pp. 80-88. 5. Badaloni, M., Rossi, M., Chiappini, G., Lava, P., Debruyne, D., 2015, Impact of Experimental Uncertainties on the Identification of Mechanical Material Properties using DIC, Experimental Mechanics, 55(8), pp. 1411-1426.
Tong, W., 2013, Formulation of Lucas-Kanade Digital Image Correlation Algorithms for Non-contact Deformation Measurements: A Review, Strain, 49, pp. 313-334.
Pan, B., Lu, Z., Huimin, X., 2010, Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation, Optics and Lasers in Engineering, 48(4), pp. 469-477.
Pan, B., Huimin, X., Wang, Z., Qian, K., Wang, Z., 2008, Study on subset size selection in digital image correlation for speckle patterns, Optics Express, 16(10), pp. 7037-7048.
Pan, B., Xie, H., Wang, Z., 2010, Equivalence of digital image correlation criteria for pattern matching, Applied Optics, 49(28), pp. 5501-5509.
Schreier, H. W., Sutton, M. A., 2002, Systematic errors in digital image correlation due to undermatched subset shape functions, Experimental Mechanics, 42(3), pp. 303-310.
Schreier, H. W., Braasch, J. R., Sutton, M. A., 2000, Systematic errors in digital image correlation caused by intensity interpolation, Optical Engineering, 39(11), pp. 2915-2921.
Bing, P., Hui-min, X., Bo-qin, X., Fu-lonh, D., 2006, Performance of sub-pixel registration algorithms in digital image correlation, Measurement Science and Technology, 17(6).
Wang, Z., Wang, S., Wang, Z., 2014, An analysis on computational load of DIC based on Newton-Raphson scheme, Optics and Lasers in Engineering, 52, pp. 61-65.
Bruck, H., McNeill, S., Sutton, M., Peters III, W., 1989, Digital image correlation using Newton-Raphson method of partial differential correlation, Experimental Mechanics, 29(3), pp. 261-267.
Vendroux, G., Knauss, W. G., 1998, Submicron deformation field measurements: Part 2. Improved digital image correlation, Experimental Mechanics, 38(2), pp. 86-92.
Pan, B., Li, K., Tong, W., 2013, Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations, Experimental Mechanics, 53, pp. 1277–1289. 17. Huang, J., et al., 2013, Digital image correlation with self-adaptive Gaussian windows, Experimental Mechanics, 53(3), pp. 505-512.
Peters, W., Ranson, W., 1982, Digital Imaging Techniques in Experimental Stress Analysis, Optical Engineering, 21(3), pp. 427-431.
Pan, B., Li, K., 2011, A fast digital image correlation method for determination measurement, Optics and Lasers in Engineering, 49(7), pp. 841-847.
Zhang, Z.-F., Kang, Y.-L., Wang, H.-W., Qin, Q.-H., Qiu, Y., Li, X.-Q., 2006, A novel coarse-fine search scheme for digital image correlation method, Measurement, 9(8), pp. 710-718.
Jianyong, H., Tao, Z., Xiaochang, P., Lei, Q., Xiaoling, P., Chunyang, X., Jing, F., 2010, A high-efficiency digital image correlation method based on a fast recursive scheme, Meas. Sci. Technol., 21, pp. 1-12.
DOI: https://doi.org/10.22190/FUME1601063S
Refbacks
- There are currently no refbacks.
ISSN: 0354-2025 (Print)
ISSN: 2335-0164 (Online)
COBISS.SR-ID 98732551
ZDB-ID: 2766459-4