Title :
Mixed anisotropic diffusion
Author :
Terebes, Romulus ; Lavialle, Olivier ; Baylou, Pierre ; Borda, Monica
Author_Institution :
Equipe Signal Image-LAP, ENSEIRB, Talence, France
Abstract :
This paper deals with the filtering and the enhancement of strongly oriented patterns. We propose a new filter combining scalar and tensor based diffusivities. The computation of an orientation confidence allows its to choose the best strategy to locally diffuse the gray levels. We show that this approach overcomes some drawbacks of the classical methods like corner smoothing or pinhole effect. The proposed method was applied on digital images of engravings. This type of images contain strongly oriented patterns and a large amount of details that have to be preserved during the diffusion.
Keywords :
eigenvalues and eigenfunctions; pattern recognition; corner smoothing; digital images; mixed anisotropic diffusion; orientation confidence; pinhole effect; scalar based diffusivities; strongly oriented patterns; tensor based diffusivities; Anisotropic magnetoresistance; Diffusion processes; Digital images; Eigenvalues and eigenfunctions; Filtering theory; Filters; Hydrogen; Nonlinear equations; Smoothing methods; Tensile stress;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048102