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Proceedings Paper

Automatic Analysis Of Flow Visualization Images
Author(s): Yong H. Lee; Bahram Khalighi; David Shack
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Paper Abstract

Image processing of flow visualization pictures is an effective technique to obtain full-field velocity information in a wide variety of fluid mechanics problems. This report describes the development of an image processing algorithm which employs automatic analysis of the flow visualization images to establish local, instantaneous velocity information. The automatic method utilizes gradient operators and curve fitting techniques to extract the valid flow streaks. It is demonstrated how this technique may be used to determine local velocity vectors for a variety of flow visualization images. The analysis is accurate and fast.

Paper Details

Date Published: 18 January 1988
PDF: 10 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942138
Show Author Affiliations
Yong H. Lee, General Motors Research Laboratories (United States)
Bahram Khalighi, General Motors Research Laboratories (United States)
David Shack, General Motors Research Laboratories (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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