A highly accurate iterative PIV technique using a gradient method

An iterative particle image velocimetry (PIV) technique which combines the iterative cross correlation technique and three-point Gaussian peak fitting for a sub-pixel analysis can improve the spatial resolution and accuracy of measurement. The root mean square (RMS) error of the technique is only 0....

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Veröffentlicht in:Measurement science & technology 2000-12, Vol.11 (12), p.1666-1673
Hauptverfasser: Sugii, Yasuhiko, Nishio, Shigeru, Okuno, Taketoshi, Okamoto, Koji
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Sprache:eng
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Zusammenfassung:An iterative particle image velocimetry (PIV) technique which combines the iterative cross correlation technique and three-point Gaussian peak fitting for a sub-pixel analysis can improve the spatial resolution and accuracy of measurement. The root mean square (RMS) error of the technique is only 0.04 pixels. However, a large interrogation window, typically 32 x 32 pixels or larger, must be taken in order to achieve the high sub-pixel accuracy. This is not compatible with high spatial resolution. In this paper, a new high-resolution PIV technique based on a gradient method is proposed. Initially, the pixel unit displacement is detected by the iterative method. Then, the sub-pixel displacement is evaluated by the use of the gradient method instead of three-point Gaussian peak fitting. The error of the proposed technique has been analytically assessed by Monte Carlo simulations. The RMS error is of the order of 0.01 pixels even with a small interrogation window, 13 x 13 pixels or less. Thus, the method achieves high sub-pixel accuracy and high spatial resolution compatibility. (Original abstract)
ISSN:0957-0233
1361-6501
DOI:10.1088/0957-0233/11/12/303