Gharib, Mory and Pereira, Francisco and Dabiri, Dana and Hove, Jay R. and Modarress, Darius (2002) Quantitative Flow Visualization: Toward a Comprehensive Flow Diagnostic Tool. Integrative and Comparative Biology, 42 (5). pp. 964-970. ISSN 1540-7063. doi:10.1093/icb/42.5.964. https://resolver.caltech.edu/CaltechAUTHORS:20130911-110033368
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Abstract
Quantitative flow visualization has many roots and has taken several approaches. The advent of digital image processing has made it possible to practically 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 fields or gradients of these scalar fields in the flow (Merzkirch, 1987). For whole-field velocity measurement, the method of choice by experimental fluid mechanicians has been the technique of 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 useful in both engineering and biological applications.
Item Type: | Article | |||||||||
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Additional Information: | © 2002 The Society for Integrative and Comparative Biology. This research was supported by the Office of Naval Research (contract N000140010110 to M.G.). The Defocusing Digital Particle Image Velocimetry (DDPIV) technology is protected under a U.S. patent through California Institute of Technology. | |||||||||
Group: | GALCIT | |||||||||
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Issue or Number: | 5 | |||||||||
DOI: | 10.1093/icb/42.5.964 | |||||||||
Record Number: | CaltechAUTHORS:20130911-110033368 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20130911-110033368 | |||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 41246 | |||||||||
Collection: | CaltechAUTHORS | |||||||||
Deposited By: | Tony Diaz | |||||||||
Deposited On: | 11 Sep 2013 22:23 | |||||||||
Last Modified: | 10 Nov 2021 04:27 |
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