• DocumentCode
    2491065
  • Title

    Phase diagram of a long bar under a higher-order active contour energy: Application to hydrographic network extraction from VHR satellite images

  • Author

    El Ghoul, Aymen ; Jermyn, Ian H. ; Zerubia, Josiane

  • Author_Institution
    ARIANA, INRIA/CNRS/UNSA, Sophia Antipolis
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. Higher-order active contours provide a way to include such knowledge, but their behaviour can vary significantly with parameter values: e.g. the same energy can model networks or a dasiagas of circlespsila. In this paper, we present a stability analysis of a HOAC energy leading to the phase diagram of a long bar. The results, which are confirmed by numerical experiments, enable the selection of parameter values for the modelling of network shapes using the energy. We apply the resulting model to the problem of hydrographic network extraction from VHR satellite images.
  • Keywords
    feature extraction; image resolution; remote sensing; satellite communication; VHR satellite images; higher-order active contour energy; higher-order active contours; hydrographic network extraction; long bar phase diagram; stability analysis; Active contours; Active shape model; Arm; Image resolution; Image segmentation; Region 1; Remote monitoring; Satellites; Stability analysis; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761894
  • Filename
    4761894