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Proceedings Paper

Infrared small target enhancement by using sequential top-hat filters
Author(s): Jianjun Zhou; Haoyin Lv; Fugen Zhou
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Paper Abstract

Generally in the infrared images, the targets have low contrast with the background, which makes the detection of the small targets difficult. To improve the detectability of the infrared small targets, this paper presents a novel algorithm for infrared small target enhancement by using sequential top-hat filters. Moreover, the proposed algorithm has been compared with several existing algorithms. The experimental results indicate that sequential top-hat filters could well enhance the infrared small targets and effectively suppress the background clutters.

Paper Details

Date Published: 24 November 2014
PDF: 5 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011L (24 November 2014); doi: 10.1117/12.2072159
Show Author Affiliations
Jianjun Zhou, Beijing Univ. of Aeronautics and Astronautics (China)
Naval Academy of Armament (China)
Haoyin Lv, Beijing Univ. of Aeronautics and Astronautics (China)
Longdong Univ. (China)
Fugen Zhou, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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