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Proceedings Paper

A novel 3D anisotropic diffusion filter
Author(s): Sorin Pop; Romulus Terebes; Jean-Pierre Da Costa; Christian Germain; Monica Borda; Cosmin Ludusan; Olivier Lavialle
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Paper Abstract

We propose a 3D anisotropic diffusion filter for denoising and enhancing oriented data. The approach is a generalization of a previous contribution and it is based on a novel, more precise orientation estimation step. The orientation in the 3D space is computed using an asymmetric Isotropic Recursive Oriented Network (IRON) operator that can handle in a natural way junctions and corners. In the experimental section we employ a set of 3D synthetic blocks to illustrate the efficiency of the new method through quantitative and visual comparisons with other 3D-extended classical models or recently proposed 3D Partial Differential Equations (PDE).

Paper Details

Date Published: 4 February 2010
PDF: 13 pages
Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 752603 (4 February 2010); doi: 10.1117/12.838742
Show Author Affiliations
Sorin Pop, Technical Univ. of Cluj-Napoca (Romania)
Romulus Terebes, Technical Univ. of Cluj-Napoca (Romania)
Jean-Pierre Da Costa, Univ. Bordeaux I (France)
Christian Germain, Univ. Bordeaux I (France)
Monica Borda, Technical Univ. of Cluj-Napoca (Romania)
Cosmin Ludusan, Technical Univ. of Cluj-Napoca (Romania)
Univ. Bordeaux I (France)
Olivier Lavialle, Univ. Bordeaux I (France)


Published in SPIE Proceedings Vol. 7526:
Three-Dimensional Image Processing (3DIP) and Applications
Atilla M. Baskurt, Editor(s)

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