Translator Disclaimer
8 December 2011 Self-adaptive threshold tracking algorithm of infrared weak-small targets
Author Affiliations +
Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030L (2011) https://doi.org/10.1117/12.901208
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaohui Xu, Yongkang Zhang, Yan Tian, Huijun Tang, and Junxia Wei "Self-adaptive threshold tracking algorithm of infrared weak-small targets", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030L (8 December 2011); https://doi.org/10.1117/12.901208
PROCEEDINGS
5 PAGES


SHARE
Advertisement
Advertisement
Back to Top