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Quantitative Flow Visualization
Author(s) -
GHARIB MORY,
PEREIRA FRANCISCO,
DABIRI DANA,
MODARRESS DARIUS
Publication year - 2002
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2002.tb04546.x
Subject(s) - particle image velocimetry , visualization , flow visualization , velocimetry , computer science , planar , flow (mathematics) , image processing , computer vision , vector field , image (mathematics) , computer graphics (images) , optics , artificial intelligence , physics , mechanics , turbulence
A bstract : Quantitative flow visualization has many roots and has taken several approaches. The advent of digital image processing has made it practical to extract useful information from every kind of flow image. In a direct approach, the image intensity or color (wavelength or frequency) can be used as an indication of concentration, density and temperature field, or gradients of these scalar fields in the flow.1 For whole‐field velocity measurement, the method of choice for experimental fluid mechanicians has been digital particle image velocimetry (DPIV). This paper presents a novel approach to extend the DPIV technique from a planar method to a full three‐dimensional volume mapping technique.