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The Hartley transform applied to particle image velocimetry

Hequan Sun

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The measurement principle of particle image velocimetry (PIV) is based on cross-correlation analysis of flow images. By using the cross-correlation property and fast algorithm of the Fourier transform, the analysis in PIV can be implemented easily and quickly. The Hartley transform is an integral transform similar to the Fourier transform and has most of the characteristics of the Fourier transform. The Hartley transform also has some better properties and a faster algorithm than the Fourier transform. The cross-correlation property of the Hartley transform based on separable kernels is presented in detail and the application to PIV analysis is introduced. The advantage of the Hartley transform can be shown from the comparison of numbers of operations in theory and computation time in practice.


PACS

47.80.-v Instrumentation and measurement methods in fluid dynamics

42.30.Kq Fourier optics

42.30.Va Image forming and processing

02.30.Uu Integral transforms

06.30.Gv Velocity, acceleration, and rotation

Subjects

Fluid dynamics

Mathematical physics

Instrumentation and measurement

Optics, quantum optics and lasers

Dates

Issue 12 (December 2002)

Received 17 July 2002, accepted for publication 4 October 2002, in final form 30 September 2002

Published 1 November 2002



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