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Proceedings Paper

Image segmentation based on self-organization
Author(s): Xu Liu; Yibo Zheng; Lei Zhang
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Paper Abstract

Image smoothing and super-resolution are realized by using a reaction diffusion model which is a typical partial differential equation. The new method is based on the theory of self-organization. In the Turing instability at the bistable region diffusion process in space leads to the availability of image smoothing and decides the smoothing effects. After comparing with average filter and median filter it is found that the effects of image smoothing by the reaction diffusion model are better than that by other filters. Super-resolution can also be achieved by the reaction diffusion model in a suitable region of control parameters.

Paper Details

Date Published: 5 March 2008
PDF: 6 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230V (5 March 2008); doi: 10.1117/12.791422
Show Author Affiliations
Xu Liu, Hebei Univ. of Engineering (China)
Yibo Zheng, Shijiazhuang Univ. of Economics (China)
Lei Zhang, Shijiazhuang Univ. of Economics (China)

Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing
Liwei Zhou, Editor(s)

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