Fuzzy diffusion filter with extended neighborhood
Expert Systems with Applications: An International Journal
Fuzzy based diffusion coefficient function in anisotropic diffusion for impulse noise removal
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
On the impact of anisotropic diffusion on edge detection
Pattern Recognition
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An anisotropic diffusion filter controlled by fuzzy rules is presented. The proposed filter is based in the Perona-Malik technique, using fuzzy reasoning to calculate the diffusion coefficient which controls the whole diffusion. The method has the advantage that it can be used for both smoothing and noise cleaning, as well as edge enhancement. This new approach also allows us to model the diffusion process through a rule base to have a better performance. Some examples are given to illustrate the effectiveness of the proposed technique.