多级网格迭代的图像变形算法在PIV中的应用
Iterative Multigrid Image Deformation Method for PIV
DOI:10.12677/IJFD.2013.12006,PDF,被引量下载: 3,453浏览: 14,757国家自然科学基金支持
作者:陈 槐*,钟 强,李丹勋,王兴奎：清华大学水沙科学与水利水电工程国家重点试验室，北京
关键词:多级网格；迭代；图像变形；PIV；Multigrid; Iterative; Image Deformation; PIV
摘要:本文简述了多级网格迭代的图像变形算法的发展，重点介绍了多级网格迭代算法与图像变形算法匹配进行流场分析的基本原理及计算步骤。对算法的各主要环节进行了详细的讨论，包括相关系数峰值拟合方法，图形变形的速度场插值方法，亚像素点灰度插值方法，数据剔错方法及窗函数的应用。
Abstract:This paper presents a brief introduction of the iterative multigrid image deformation method which combines iterative multigrid approach and image deformation approach for PIV. Major components of the method are discussed in detail, including correlation peak finding algorithms, interpolation schemes, velocity interpolation schemes, outlier detection schemes and weighting windows.
文章引用：陈槐, 钟强, 李丹勋, 王兴奎. 多级网格迭代的图像变形算法在PIV中的应用[J]. 流体动力学, 2013, 1(2): 34-39. http://dx.doi.org/10.12677/IJFD.2013.12006

参考文献

[1] [1] Keane R D, Adrian R J. Optimization of particle image velocimeters. I. Double pulsed systems[J]. Measurement Science and Technology, 1990, 1: 1202.
[2] [2] Willert C E, Gharib M. Digital particle image velocimetry[J]. Experiments in Fluids, 1991, 10(4): 181-193.
[3] [3] Soria J. An investigation of the near wake of a circular cylinder using a video-based digital cross-correlation particle image velocimetry technique[J]. Experimental Thermal and Fluid Science, 1996, 12(2): 221-233.
[4] [4] Westerweel J, Dabiri D, Gharib M. The effect of a discrete window offset on the accuracy of cross-correlation analysis of digital PIV recordings[J]. Experiments in Fluids, 1997, 23(1): 20-28.
[5] [5] Lecordier B, Demare D, Vervisch L, et al. Estimation of the accuracy of PIV treatments for turbulent flow studies by direct numerical simulation of multi-phase flow[J]. Measurement Science and Technology, 2001, 12: 1382.
[6] [6] Scarano F, Riethmuller M L. Iterative multigrid approach in PIV image processing with discrete window offset[J]. EXPERIMENTS IN FLUIDS, 1999, 26(6): 513-523.
[7] [7] Huang H T, Fiedler H E, Wang J J. Limitation and improvement of PIV[J]. Experiments in Fluids, 1993, 15(4): 263-273.
[8] [8] Tokumaru P T, Dimotakis P E. Image correlation velocimetry[J]. Experiments in Fluids, 1995, 19(1): 1-15.
[9] [9] Jambunathan K, Ju X Y, Dobbins B N, et al. An improved cross correlation technique for particle image velocimetry[J]. Measurement Science and Technology, 1995, 6: 507.
[10] [10] Scarano F, Riethmuller M L. Advances in iterative multigrid PIV image processing[J]. EXPERIMENTS IN FLUIDS, 2000, 29S: S51-S60.
[11] [11] Scarano F. Iterative image deformation methods in PIV[J]. MEASUREMENT SCIENCE & TECHNOLOGY, 2002, 13(1): R1-R19.
[12] [12] Stanislas M, Okamoto K, Kähler C. Main results of the first international PIV challenge[J]. Measurement Science and Technology, 2003, 14: R63.
[13] [13] Stanislas M, Okamoto K, Kähler C J, et al. Main results of the second international PIV challenge[J]. Experiments in Fluids, 2005, 39(2): 170-191.
[14] [14] Stanislas M, Okamoto K, Kähler C J, et al. Main results of the third international PIV challenge[J]. Experiments in Fluids, 2008, 45: 27-71.
[15] [15] Scarano F. On the stability of iterative PIV image interrogation methods [C]// Proceedings of 12th international symposium on applications of laser techniques to fluid mechanics. Lisbon, Portugal, 2004: 1-9.
[16] [16] Lourenco L, Krothapalli A. On the accuracy of velocity and vorticity measurements with PIV[J]. Experiments in Fluids, 1995, 18(6): 421-428.
[17] [17] Forliti D J, Strykowski P J, Debatin K. Bias and precision errors of digital particle image velocimetry[J]. Experiments in Fluids, 2000, 28(5): 436-447.
[18] [18] Nogueira J, Lecuona A, Rodriguez P A. Local field correction PIV: on the increase of accuracy of digital PIV systems[J]. EXPERIMENTS IN FLUIDS, 1999, 27(2): 107-116.
[19] [19] Astarita T. Analysis of interpolation schemes for image deformation methods in PIV: effect of noise on the accuracy and spatial resolution [J]. EXPERIMENTS IN FLUIDS, 2006, 40(6): 977-987.
[20] [20] Astarita T, Cardone G. Analysis of interpolation schemes for image deformation methods in PIV [J]. EXPERIMENTS IN FLUIDS, 2005, 38(2): 233-243.
[21] [21] Kim B J, Sung H J. A further assessment of interpolation schemes for window deformation in PIV [J]. EXPERIMENTS IN FLUIDS, 2006, 41(3): 499-511.
[22] [22] Astarita T. Analysis of velocity interpolation schemes for image deformation methods in PIV [J]. EXPERIMENTS IN FLUIDS, 2008, 45(2): 257-266.
[23] [23] Raffel M, Willert C, Kompenhans J. Particle image velocimetry (second edition) [M]. Berlin: Springer, 2007: 178-188.
[24] [24] Westerweel J, Scarano F. Universal outlier detection for PIV data [J]. EXPERIMENTS IN FLUIDS, 2005, 39(6): 1096-1100.
[25] [25] Nogueira J, Lecuona A, Rodriguez P A. Limits on the resolution of correlation PIV iterative methods. Fundamentals[J]. EXPERIMENTS IN FLUIDS, 2005, 39(2): 305-313.
[26] [26] Nogueira J, Lecuona A, Rodriguez P, et al. Limits on the resolution of correlation PIV iterative methods. Practical implementation and design of weighting functions[J]. EXPERIMENTS IN FLUIDS, 2005, 39(2): 314-321.
[27] [27] Nogueira J, Lecuona A, Ruiz-Rivas U, et al. Analysis and alternatives in two-dimensional multigrid particle image velocimetry methods: application of a dedicated weighting function and symmetric direct correlation[J]. MEASUREMENT SCIENCE & TECHNOLOGY, 2002, 13(7): 963-974.
[28] [28] Florio D D, Felice F D, Romano G P. Windowing, re-shaping and re-orientation interrogation windows in particle image velocimetry for the investigation of shear flows[J]. Measurement Science and Technology, 2002, 13: 953.
[29] [29] Scarano F. Theory of non-isotropic spatial resolution in PIV[J]. Experiments in Fluids, 2003, 35(3): 268-277.
[30] [30] Astarita T. Analysis of weighting windows for image deformation methods in PIV [J]. EXPERIMENTS IN FLUIDS, 2007, 43(6): 859-872.

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