An official website of the European Union How do you know?      
European Commission logo
JRC Publications Repository Menu

Edge-Preserving Smoothing of Natural Images Based on Geodesic Time Functions

cover
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.
2008-02-07
INSTICC Press
JRC41450
Language Citation
NameCountryCityType
Datasets
IDTitlePublic URL
Dataset collections
IDAcronymTitlePublic URL
Scripts / source codes
DescriptionPublic URL
Additional supporting files
File nameDescriptionFile type 
Show metadata record  Copy citation url to clipboard  Download BibTeX
Items published in the JRC Publications Repository are protected by copyright, with all rights reserved, unless otherwise indicated. Additional information: https://ec.europa.eu/info/legal-notice_en#copyright-notice