Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

Optics & Laser Technology - Tập 43 - Trang 9-13 - 2011
Tao Hua1, Huimin Xie1, Simon Wang2, Zhenxing Hu1, Pengwan Chen3, Qingming Zhang3
1AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
2Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UK
3State Key Laboratory of Explosion Science and Technology, Beijing 100084, China

Tài liệu tham khảo

Peters, 1981, Digital imaging techniques in experimental stress analysis, Opt Eng, 21, 427 Bruck., 1989, Digital image correlation using Newton–Raphson method of partial differential correction, Exp Mech, 29, 261, 10.1007/BF02321405 Sutton, 1983, Determination of displacements using an improved digital correlation method, Image Vis Comput, 1, 133, 10.1016/0262-8856(83)90064-1 Shi, 2004, In-situ micro-digital image speckle correlation technique for characterization of materials’ properties and verification of numerical models, IEEE Trans Compon Packag Technol, 27, 659, 10.1109/TCAPT.2004.838907 Pan, 2009, Measurement of coefficient of thermal expansion of films using digital image correlation method, Polym Test, 28, 75, 10.1016/j.polymertesting.2008.11.004 Hua, 2007, A new micro-tensile system for measuring the mechanical properties of low dimensional materials—fibers and films, Polym Test, 26, 513, 10.1016/j.polymertesting.2007.01.008 Jean-Noël, 2002, Analysis of a multiaxial test on a C/C composite by using digital image correlation and a damage model, Exp Mech, 42, 318, 10.1007/BF02410989 Schreier, 2002, Systematic errors in digital image correlation due to undermatched subset shape functions, Exp Mech, 42, 303, 10.1007/BF02410987 Pan, 2009, Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review, Meas Sci Technol, 20, 062001, 10.1088/0957-0233/20/6/062001 Tong, 2005, An evaluation of digital image correlation criteria for strain mapping applications, Strain, 41, 167, 10.1111/j.1475-1305.2005.00227.x Pan, 2006, Performance of sub-pixel registration algorithms in digital image correlation, Meas Sci Technol, 17, 1615, 10.1088/0957-0233/17/6/045 Wang, 2009, Quantitative error assessment in pattern matching: effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements, Strain, 45, 160, 10.1111/j.1475-1305.2008.00592.x Sun, 2007, Study of optimal subset size in digital image correlation of speckle pattern images, Opt Lasers Eng, 45, 967, 10.1016/j.optlaseng.2007.01.012 Pan, 2008, Study on subset size selection in digital image correlation for speckle patterns, Opt Express, 46, 033601 Lecompte, 2006, Quality assessment of speckle patterns for digital image correlation, Opt Lasers Eng, 44, 1132, 10.1016/j.optlaseng.2005.10.004 Pan, 2010, Mean intensity gradient: an effective global parameter for quality assessment of the speckle patterns used in digital image correlation, Opt Lasers Eng., 48, 469, 10.1016/j.optlaseng.2009.08.010 Peng, 2001, Subpixel displacement and deformation gradient measurement using digital image/speckle correlation (DISC), Opt Eng, 40, 1613, 10.1117/1.1387992