DocumentCode :
384199
Title :
Mixed anisotropic diffusion
Author :
Terebes, Romulus ; Lavialle, Olivier ; Baylou, Pierre ; Borda, Monica
Author_Institution :
Equipe Signal Image-LAP, ENSEIRB, Talence, France
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
760
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048102
Filename :
1048102
Link To Document :
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