Image segmentation based on self-organization

Xu Liu; Yibo Zheng; Lei Zhang

doi:10.1117/12.791422

5 March 2008 Image segmentation based on self-organization

Xu Liu, Yibo Zheng, Lei Zhang

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230V (2008) https://doi.org/10.1117/12.791422
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

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.

Citation Download Citation

Xu Liu, Yibo Zheng, and Lei Zhang "Image segmentation based on self-organization", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230V (5 March 2008); https://doi.org/10.1117/12.791422

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