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Proceedings Paper

An improved SUSAN algorithm for electronic image stabilization of the UAV video image
Author(s): Hongying Zhao; Yinqian Cheng; Guo Li
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Paper Abstract

A new image corner detection algorithm is proposed in this paper based on the SUSAN algorithm for the electronic image stabilization of the UAV video image. Through analyzing the gray characteristics of the image of the UAV, the new algorithm changed the judge criteria of the SUSAN corner detection algorithm to increase the accuracy and velocity of the image processing. The basic steps of the algorithmic show as follow: First, the correct threshold is decided using the gray characteristic. Second, comparing the one pixel with the eight neighborhood pixels, the elementary direction of corner is acquired. Last, a corner is acquired through calculating the number of the congener pixels based on these new directions. Using this new algorithm the corners should be detected fast and efficiently. Experimental results of the UAV video image processing show that the new method can highly increase computational velocity. Consequently the proposed algorithm meets the need for real-time image processing.

Paper Details

Date Published: 28 November 2007
PDF: 6 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330G (28 November 2007); doi: 10.1117/12.757427
Show Author Affiliations
Hongying Zhao, Peking Univ. (China)
Yinqian Cheng, China Univ. of Mining and Technology (China)
Guo Li, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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