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Proceedings Paper

Self-adaptive threshold tracking algorithm of infrared weak-small targets
Author(s): Zhaohui Xu; Yongkang Zhang; Yan Tian; Huijun Tang; Junxia Wei
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Paper Abstract

To detect IWST, foreign and domestic scholars put forward many meaningful detection methods. However, most of the algorithms are too much complex in the calculation to meet real-time and reliability requirements in practical application. A simple self-adaptive threshold algorithm to capture and track the IWST is presented in this paper. Testing results showed that algorithm not only effectively extract IWST and track it through the clouds in the sky background, but also has a strong robustness for the interference of background noises.

Paper Details

Date Published: 8 December 2011
PDF: 5 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030L (8 December 2011); doi: 10.1117/12.901208
Show Author Affiliations
Zhaohui Xu, Xi'an Institute of Optics and Precision Mechanics (China)
Yongkang Zhang, Xi'an Institute of Optics and Precision Mechanics (China)
Yan Tian, Xi'an Institute of Optics and Precision Mechanics (China)
Huijun Tang, Xi'an Institute of Optics and Precision Mechanics (China)
Junxia Wei, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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