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Proceedings Paper

Recognition of low-contrast FLIR tank object based on multiscale fractal character vector
Author(s): Donghui Xue; Yaoting Zhu; Guang-Xi Zhu; Yan Xiong
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Paper Abstract

Low-contrast FLIR tank object detection is a difficulty. This paper presents a new method based on fractal geometry and multiscale analysis for the target detection. A new metric called multiscale fractal character vector which can distinguish man-made objects and natural scenes is defined. And then a segmentation algorithm based on this new metric is given. Finally, experimental results have shown our method can give better segmentation results than the usual segmentation method which is based on H parameter of only one scale image.

Paper Details

Date Published: 24 May 1996
PDF: 8 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241155
Show Author Affiliations
Donghui Xue, Huazhong Univ. of Science and Technology (China)
Yaoting Zhu, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Yan Xiong, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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