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Proceedings Paper

Detection of sea-surface small targets in infrared images based on multilevel filters
Author(s): Zhen C. Zuo; Tianxu Zhang
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Paper Abstract

This paper is concerned with the research work about small target detection in heavy noise background infrared images. In the studied sea surface infrared images, ship objects are rather dim in dark sea background. There also exist scan line disturbance and clutter noises which increase the difficulties of exact detection. On one hand, dim objects must be detected from dark background. On the other hand, the small targets must be distinguished from clutters. Through the analysis of the targets and background features, we find the targets are more continuous then clutters and have sharper edges. Their sizes are larger too. These indicate that their frequency features are different from clutters. In frequency domain, the targets mainly lie in the low and middle frequency region compared with clutters. We apply low pass filters (LPF) to the images. The space sizes of LPF are carefully chosen according to the target sizes. To obtain good result, multi-level filters are considered. We subtract the filtered image from the original image, then use a contrast-based method to detect the objects. Our experiments show that the algorithm is excellent for target detection and robust to noises.

Paper Details

Date Published: 25 September 1998
PDF: 6 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323678
Show Author Affiliations
Zhen C. Zuo, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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