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Proceedings Paper

Multiprocessor-based automatic hail-flow image processing system
Author(s): Xiaoqing Li; William G. Wee; Aiqun Niu
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Paper Abstract

In hail flow analysis, hail characteristics such as isolated hail size histogram and hail velocity distribution are very important. An innovative automatic hail flow measuring system is described in this paper. The system applies Rewo filter based image processing, automatic learning, and multiprocessor techniques to analyze both temporal and spatial features of multiple hail flow video frames. The testing results of five hundred hail frames having a total of more than two thousand hail particles show the advantages of this system in automatic, robustness, statistic reliability and accuracy compared to radar and manual calculation.

Paper Details

Date Published: 8 July 1998
PDF: 9 pages
Proc. SPIE 3389, Hybrid Image and Signal Processing VI, (8 July 1998); doi: 10.1117/12.316533
Show Author Affiliations
Xiaoqing Li, Univ. of Cincinnati (United States)
William G. Wee, Univ. of Cincinnati (United States)
Aiqun Niu, Univ. of Cincinnati (United States)

Published in SPIE Proceedings Vol. 3389:
Hybrid Image and Signal Processing VI
David P. Casasent; Andrew G. Tescher, Editor(s)

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