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Proceedings Paper

New close-region detection method using region growing
Author(s): Dan Tu; Hong Yan; Zhenkang Shen
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Paper Abstract

A new detecting algorithm for close region, which has rectangle or parallelogram shape (e.g. airfield track), is developed in this paper. The traditional detecting algorithms for this kind of close region have some faults: long operating time and high demand for image quality. Mainly based on gray level shifting characteristic and size characteristic of close region, this proposed detecting algorithm for close region is not needed to extract line and search parallel lines. In this algorithm, a new terminology-edge dot couple, which is used as parameter of close region detection, is expressed and the method to extract it is described. A new technology-region growing, which use edge dot couple as growing base, is developed to search out close region. The author applies this algorithm to detect airfield track. The experiment result shows that this method is good for the close region detection.

Paper Details

Date Published: 29 October 1997
PDF: 6 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.279542
Show Author Affiliations
Dan Tu, National Univ. of Defense Technology (China)
Hong Yan, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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