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Proceedings Paper

An improved algorithm for facet-based infrared small target detection
Author(s): Kejia Yi; Tingquan Deng; Jing Guan; Gongze Wang; Hao Chen
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Paper Abstract

Infrared small target detection is an important research area of computer vision and often a key technique in Infrared Search and Track (IRST) systems. Many algorithms have been reported for this purpose. The facet-based method is one of novel algorithms and is shown as robust and efficient, but it does not perform well in target preservation. The method cannot detect peripheral pixel of target, which causes information loss of target intensity distribution and affects post processing of detection, such as target tracking and recognition. In this paper an improved algorithm is developed for solving this shortcoming. The detection behavior of the facet model is further analyzed. Small target is surrounded by background, so local image edge that indicates target contour can be represented by zero-crossings of the second partial derivatives. The improved algorithm uses facet model to fit local intensity surface and detect potential targets using extremum theory, then the zero-crossings of the second partial derivatives of the fitting function in each potential target's neighborhood are found and the pixels inside the zero-crossing contour are restored to the potential target. In experiments involving typical infrared images target intensity distribution information is well preserved by proposed algorithm and its execution time is also acceptable.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030V (8 December 2011); doi: 10.1117/12.901966
Show Author Affiliations
Kejia Yi, Harbin Engineering Univ. (China)
Huazhong Univ. of Science and Technology (China)
Tingquan Deng, Harbin Engineering Univ. (China)
Jing Guan, Huazhong Univ. of Science and Technology (China)
Gongze Wang, Huazhong Univ. of Science and Technology (China)
Hao Chen, Huazhong Univ. of Science and Technology (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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