Image Filtering Based on Locally Estimated Geodesic Functions

  • Jacopo Grazzini
  • Pierre Soille
Conference paper

DOI: 10.1007/978-3-642-10226-4_10

Part of the Communications in Computer and Information Science book series (CCIS, volume 24)
Cite this paper as:
Grazzini J., Soille P. (2009) Image Filtering Based on Locally Estimated Geodesic Functions. In: Ranchordas A., Araújo H.J., Pereira J.M., Braz J. (eds) Computer Vision and Computer Graphics. Theory and Applications. VISIGRAPP 2008. Communications in Computer and Information Science, vol 24. Springer, Berlin, Heidelberg

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jacopo Grazzini
    • 1
  • Pierre Soille
    • 1
  1. 1.Spatial Data Infrastructures UnitInstitute for Environment and Sustainability, Joint Research Centre - European CommissionIspra (VA)Italy

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