Image Filtering Based on Locally Estimated Geodesic Functions
This paper addresses the problem of edge-preserving smoothing of natural images. A novel adaptive approach as a preprocessing stage in feature extraction and/or image segmentation. It performs a weighted convolution by combining both spatial and tonal information in a single similarity measure based on the local calculation of geodesic time functions. Two different strategies are derived for smoothing heterogeneous areas while preserving relevant structures.
GRAZZINI Jacopo;
SOILLE Pierre;
2010-11-23
Springer-Verlag
JRC49303
978-3-642-10225-7,
1865-0929,
http://www.springerlink.com/content/v264v11754004500/,
https://publications.jrc.ec.europa.eu/repository/handle/JRC49303,
10.1007/978-3-642-10226-4_10,
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