Using mean field annealing to solve anisotropic diffusion problems

Author

Qi, Hairong ; Snyder, Wesley E. ; Bilbro, Griff L.

Author_Institution

Center for Adv. Comput. & Commun., North Carolina State Univ., Raleigh, NC, USA

Volume

3

fYear

1997

Firstpage

352

Abstract

Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization technique which is used to find the best estimation of a blurred, noisy corrupted image. We show that MFA is versatile enough to be used for image feature extraction as well. Furthermore, the two major problems in anisotropic diffusion (white noise and geometric interpretation) can be solved by few modifications of the MFA equation. Finally, experiments and results are presented

Keywords

feature extraction; nonlinear equations; optimisation; white noise; anisotropic diffusion problems solution; blurred image; experiments; geometric interpretation; image feature extraction; image optimization; mean field annealing; noisy corrupted image; nonlinear diffusion equation; white noise; Anisotropic magnetoresistance; Annealing; Feature extraction; Image restoration; Kernel; Minimization methods; Nonlinear equations; Optimization methods; Smoothing methods; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632114

Filename

632114