Particle image velocimetry using wavelet-matched filters

Joewono Widjaja; Yasuo Tomita

doi:10.1080/09500349608232866

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Particle image velocimetry using wavelet-matched filters

Joewono Widjaja Yasuo Tomita

Year: 1996 Journal: Journal of Modern Optics Vol: 43 (10)Pages: 1993-1997 Publisher: Taylor & Francis

DOI: 10.1080/09500349608232866

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Abstract

Abstract A novel method for improving measurement abilities of a particle image velocimetry by using wavelet-matched filtering is proposed. Based on an edge enhancement and multiscaling properties of a wavelet transform, an optical production of a sharp autocorrelation peak from a doubly exposed particle image is demonstrated.

Keywords:

Particle image velocimetry Particle tracking velocimetry Velocimetry Wavelet Wavelet transform Optics Discrete wavelet transform Autocorrelation Particle (ecology) Materials science Physics Acoustics Artificial intelligence Computer science Mathematics Statistics Geology Turbulence

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Digital Holography and Microscopy

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fluid Dynamics and Turbulent Flows

Physical Sciences → Engineering → Computational Mechanics

Particle image velocimetry using wavelet-matched filters

Abstract

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