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Proceedings Paper

Contour extraction in visible image based on image fusion
Author(s): Peng Zhao; Ni Hong Wang; Zhao Bang Pu
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Paper Abstract

IR and visible images are commonly used in the detection and tracking of moving target. Novel contour extraction scheme for moving target is proposed in this paper. Firstly, a motion segmentation technology is applied to get the initial contour. Secondly, dynamic contour is used to represent the initial contour and converges to target's contour. Lastly, a novel feature level fusion is proposed, which minimizes norm's square of control point vector's difference in two modal images. Image registration is not needed. Experiment on moving vehicle indicates that for visible image, average contour extraction error decreases by 58.14% after the fusion. Meanwhile, a fast iteration algorithm of dynamic contour based on Newmark method is devised, which is contrasted with Wilson method. Contrasting experiment indicates that its computational complexity decreases by 21.01%. This fusion is implemented only with control point vectors and is suitable for real time processing.

Paper Details

Date Published: 25 May 2005
PDF: 8 pages
Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); doi: 10.1117/12.602410
Show Author Affiliations
Peng Zhao, Harbin Institute of Technology (China)
North East Forestry Univ. (China)
Ni Hong Wang, North East Forestry Univ. (China)
Zhao Bang Pu, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 5809:
Signal Processing, Sensor Fusion, and Target Recognition XIV
Ivan Kadar, Editor(s)

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