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Proceedings Paper

Particle velocity computation using a phase-only filter
Author(s): Abdul Ahad Sami Awwal; Syed M. Munir; Mohammad Kamrul Islam
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Paper Abstract

This paper introduces two new concepts into the field of particle image velocimetry. Traditionally, a particle image velocimeter is based on correlation operation between multiply exposed images. Cross-correlation operation is same as classical matched filtering (CMF) operation, which suffers from low peak intensity and power efficiency. Phase only filter (POF), because of its power efficiency and sharp correlation peak has been used extensively for pattern recognition. We propose to introduce POF instead of CMF for tracking high-speed particles. In addition, a powerful approach for particle tracking is introduced which involves tracking the particle in nine-directions. To track displacement of particles further away from original location, the original image is correlated with eight blocks around the original block. This enable us to track higher velocity particles. The method involves correlating two pictures taken some time apart. Phase only filter is used to correlate the original image with its time and space- shifted version to determine the velocity of the particles.

Paper Details

Date Published: 29 November 2000
PDF: 8 pages
Proc. SPIE 4114, Photonic Devices and Algorithms for Computing II, (29 November 2000); doi: 10.1117/12.408566
Show Author Affiliations
Abdul Ahad Sami Awwal, Wright State Univ. (United States)
Syed M. Munir, Innovative Technology Solutions, Inc. (United States)
Mohammad Kamrul Islam, Commtech Corp. (United States)


Published in SPIE Proceedings Vol. 4114:
Photonic Devices and Algorithms for Computing II
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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