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	射流稀疏颗粒图像PIV算法应用
	虞建 ; 李荣先 ; 周力行 ; YU Jian ; LI Rongxian ; ZHOU Lixing
	2010-06-07 ; 2010-06-07
关键词	颗粒图像测速(PIV) 最小平方差 FFT互相关 直接计算相关系数 射流稀疏颗粒图像 particle image velocimetry (PIV) minimum quadratic difference FFT-based cross-correlation direct cross-correlation sparse particle images of the jet flow O358
其他题名	Comparative study of three PIV algorithms for sparse particle images of jet flow
中文摘要	A comparison of three PIV algorithms: FFT-based cross-correlation (FFT-CC) method, direct cross-correlation (DCC) method, and minimum quadratic difference (MQD) method was performed by applying these methods to low number density PIV images obtained by the Japan Visualization Society.Raw results of the MQD method were better than those of the FFT-CC, but validated results of the FFT-CC method were better than those of the MQD method. Results of the DCC method were the worst.There was discrepancy between results of the same algorithm with different sizes of the interrogation window.It mainly resulted from various amounts of matched particles of sub images.This study could provide good reference to the selection of the algorithm and its parameters.(; 国家重点基础研究发展规划项目(G1999022106).~~
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/37744]
专题	清华大学
推荐引用方式 GB/T 7714	虞建,李荣先,周力行,等. 射流稀疏颗粒图像PIV算法应用[J],2010, 2010.
APA	虞建,李荣先,周力行,YU Jian,LI Rongxian,&ZHOU Lixing.(2010).射流稀疏颗粒图像PIV算法应用..
MLA	虞建,et al."射流稀疏颗粒图像PIV算法应用".(2010).

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