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Authors: Jacopo Grazzini and Pierre Soille

Affiliation: Spatial Data Infrastructures Unit, Institute for Environment and Sustainability, European Commission - DG Joint Research Centre, Italy

Keyword(s): Mathematical morphology, edge-preserving smoothing, nonlinear filtering, geodesic time.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Filtering ; Image Formation and Preprocessing ; Mathematical Morphology

Abstract: In this paper, we address the problem of edge-preserving smoothing of natural images. We introduce a novel adaptive approach derived from mathematical morphology as a preprocessing stage in feature extraction and/or image segmentation. Like other filtering methods, it assumes that the local neighbourhood of a pixel contains the essential information required for the estimation of local image properties. It performs a weighted averaging by combining both spatial and tonal information in a single similarity measure based on the local calculation of geodesic time functions from the estimated pixel. By designing relevant geodesic masks, it can deal with specific situation and type of images. We describe in the following two possible strategies and we show their capabilities at smoothing heterogeneous areas while preserving relevant structures in natural - greyscale or multispectral - images displaying different features.

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Paper citation in several formats:
Grazzini, J. and Soille, P. (2008). EDGE-PRESERVING SMOOTHING OF NATURAL IMAGES BASED ON GEODESIC TIME FUNCTIONS. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 20-27. DOI: 10.5220/0001087400200027

@conference{visapp08,
author={Jacopo Grazzini. and Pierre Soille.},
title={EDGE-PRESERVING SMOOTHING OF NATURAL IMAGES BASED ON GEODESIC TIME FUNCTIONS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={20-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001087400200027},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - EDGE-PRESERVING SMOOTHING OF NATURAL IMAGES BASED ON GEODESIC TIME FUNCTIONS
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Grazzini, J.
AU - Soille, P.
PY - 2008
SP - 20
EP - 27
DO - 10.5220/0001087400200027
PB - SciTePress

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