Contour extraction in visible image based on image fusion

Peng Zhao; Ni Hong Wang; Zhao Bang Pu

doi:10.1117/12.602410

25 May 2005 Contour extraction in visible image based on image fusion

Peng Zhao, Ni Hong Wang, Zhao Bang Pu

Proceedings Volume 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV; (2005) https://doi.org/10.1117/12.602410
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Peng Zhao, Ni Hong Wang, and Zhao Bang Pu "Contour extraction in visible image based on image fusion", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.602410

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