Title: Multichannel Image Regularisation Using Anisotropic Geodesic Filtering
Authors: GRAZZINI JacopoDILLARD ScottSOILLE Pierre
Citation: Proceedings of the 20th International Conference On Pattern Recognition - ICPR 2010, ISBN: 978-0-7695-4109-9 p. 2664-2667
Publisher: IEEE Computer Society Press
Publication Year: 2010
JRC N°: JRC58979
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC58979
DOI: 10.1109/ICPR.2010.653
Type: Articles in periodicals and books
Abstract: This paper extends a recent image-dependent regularisation approach introduced in [11, 12] aiming at edge-preserving smoothing. For that purpose, geodesic distances equipped with a Riemannian metric need to be estimated in local neighbourhoods. By deriving an appropriate metric from the gradient structure tensor, the associated geodesic paths are constrained to follow salient features in images. Following, we design a generalised anisotropic geodesic filter, incorporating not only a measure of the edge strenght, like in the original method, but also further directional information about the image structures. The proposed filter is particularly efficient at smoothing heterogeneous areas while preserving relevant structures in multichannel images
JRC Directorate:Space, Security and Migration

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