Title
Mixed anisotropic diffusion
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 us to choose the best strategy to locally diffuse the gray levels.We will 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.
Year
DOI
Venue
2002
10.1109/ICPR.2002.1048102
Pattern Recognition, 2002. Proceedings. 16th International Conference
Keywords
Field
DocType
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 diffusion,Tensor,Pattern recognition,Mathematical analysis,Computer science,Scalar (physics),Algorithm,Filter (signal processing),Digital image,Smoothing,Artificial intelligence,Computation
Conference
Volume
ISSN
ISBN
3
1051-4651
0-7695-1695-X
Citations 
PageRank 
References 
5
0.49
5
Authors
4
Name
Order
Citations
PageRank
Romulus Terebes1498.42
Olivier Lavialle2729.51
Pierre Baylou313921.74
Monica Borda46313.54