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Proceedings Paper

Gray-scale morphological filter for small-target detection
Author(s): Zhenfu Zhu; Zhongling Li; Haochen Liang; Bo Song; Anjun Pan
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Paper Abstract

A grayscale morphological filter has been developed for small target detection in Infrared Search and Track (IRST) applications. Applying morphological open in horizontal and vertical directions respectively, utilizing the property of open and choosing the proper one pixel by pixel from the processed data in horizontal and vertical directions, the algorithm exhibits perfect results in estimating background accurately. Represented by the stereo description of images, the performance of the algorithm could be seen intuitively in Section 4. Real IR images with cloud, ground objects as backgrounds are tested, and the detection result is satisfactory. Furthermore, this algorithm has the potential of parallel processing, which is of great importance in real-time implementation.

Paper Details

Date Published: 15 December 2000
PDF: 7 pages
Proc. SPIE 4130, Infrared Technology and Applications XXVI, (15 December 2000); doi: 10.1117/12.409891
Show Author Affiliations
Zhenfu Zhu, Beijing Institute of Environmental Features (China)
Zhongling Li, Beijing Institute of Environmental Features (China)
Haochen Liang, Beijing Institute of Environmental Features (China)
Bo Song, Beijing Institute of Environmental Features (China)
Anjun Pan, Beijing Institute of Environmental Features (China)


Published in SPIE Proceedings Vol. 4130:
Infrared Technology and Applications XXVI
Bjorn F. Andresen; Gabor F. Fulop; Marija Strojnik, Editor(s)

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