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Proceedings Paper

Smoothing of optical images using a partial differential equation
Author(s): Huijuan Wang
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Paper Abstract

Image smoothing is realized by using a FHN (FitzHugh Nagumo) model which is a typical partial differential equation. The model exhibits three characteristics of dynamics: excitable, Turing/Hopf instability, and bistable. In 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 FHN model are as good as that by other filters. Results show that this approach is effective to image smoothing.

Paper Details

Date Published: 17 January 2008
PDF: 5 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67235G (17 January 2008); doi: 10.1117/12.783775
Show Author Affiliations
Huijuan Wang, North China Electric Power Univ. (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

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