A multiprocessor based automatic hail flow image processing system

被引：0
|
作者：
Li, XQ [1 ]
Wee, WG [1 ]
Niu, AQ [1 ]
机构：
[1] Univ Cincinnati, Artificial Intelligence & Comp Vis Lab, Dept Elect & Comp Engn & Comp Sci, Cincinnati, OH 45221 USA
来源：
HYBRID IMAGE AND SIGNAL PROCESSING VI | 1998年 / 3389卷
关键词：
flow analysis; edge detection; Rewo filter; automatic learning; semaphore communication;
D O I：
10.1117/12.316533
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 automation, robustness, statistic reliability and accuracy compared to radar and manual calculation.
引用
收藏
页码：124 / 132
页数：9
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