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Proceedings Paper

An efficient method for infrared small target detection
Author(s): Zhen-hua Su; Dan-pei Zhao; Jing Qi
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Paper Abstract

The efficient detection of small target in the low SNR image is an important and challenging research task in wide civil and military applications. In this paper, we developed a novel and efficient infrared small target detection method based on gray-scale morphology transform and higher-order statistics. Firstly, most of the image background regions are removed using gray-scale morphology processing. Following by the background suppression, the method proposed in the paper firstly uses higher-order statistics method to locate coarsely the region containing the target. Then, the paper uses polynomial fitting to fit cumulative histogram of the region of interest after background suppression, and the optimal adaptive segmentation threshold is obtained through the dynamic analysis of the slope of polynomial fitting curve. The experimental results show that compared with the traditional detection methods, the proposed method is more effective and faster for infrared small target detection.

Paper Details

Date Published: 8 September 2011
PDF: 7 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819318 (8 September 2011); doi: 10.1117/12.899608
Show Author Affiliations
Zhen-hua Su, Beihang Univ. (China)
Dan-pei Zhao, Beihang Univ. (China)
Jing Qi, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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