Title :
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
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.632114
