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Spatiotemporal optimization on cross correlation for particle image velocimetry
Xie ZM(谢宗明); Wang HP(王洪平); Xu D(徐多)
发表期刊PHYSICS OF FLUIDS
2022-05
卷号34期号:5页码:55105
ISSN1070-6631
摘要We introduce an optimization method for the cross-correlation operation in particle image velocimetry by locating the correlation peaks assisted with constraint conditions. In this study, an objective function was constructed to include the residual of the normalized cross-correlation term, a component in charge of spatial smoothness (inspired by the optical flow method as used in a previous study) and a component for temporal smoothness (inspired by the concept of trajectory selection in particle tracking velocimetry). Minimizing the objective function gives optimized velocity fields for a series of tracer images for spatiotemporal smoothness. The proposed method was examined in synthetic images of turbulent flow and Batchelor vortex and in a laboratory experiment of vortex rings. The effect of image background noises and the initial guess for the optimization process were examined and discussed. Published under an exclusive license by AIP Publishing.
学科领域Mechanics ; Physics, Fluids & Plasmas
DOI10.1063/5.0091839
收录类别SCI ; EI
语种英语
WOS记录号WOS:000810788800004
项目资助者NSFC Basic Science Center Program [11988102] ; National Natural Science Foundation of China [92152106] ; Chinese Academy of Sciences [E1Z10101]
论文分区一类/力学重要期刊
力学所作者排名1
RpAuthor徐多
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://dspace.imech.ac.cn/handle/311007/90207
专题非线性力学国家重点实验室
作者单位1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
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Xie ZM,Wang HP,Xu D. Spatiotemporal optimization on cross correlation for particle image velocimetry[J]. PHYSICS OF FLUIDS,2022,34,5,:55105.
APA 谢宗明,王洪平,&徐多.(2022).Spatiotemporal optimization on cross correlation for particle image velocimetry.PHYSICS OF FLUIDS,34(5),55105.
MLA 谢宗明,et al."Spatiotemporal optimization on cross correlation for particle image velocimetry".PHYSICS OF FLUIDS 34.5(2022):55105.
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