• DocumentCode
    576324
  • Title

    A marker-controlled watershed segmentation: Edge, mark and fill

  • Author

    Gaetano, R. ; Masi, G. ; Scarpa, G. ; Poggi, G.

  • Author_Institution
    TSI Dept., TELECOM-ParisTech, Paris, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4315
  • Lastpage
    4318
  • Abstract
    The segmentation of very high resolution (VHR) images portraying complex urban scenarios is a rather challenging problem. In particular, great attention must be devoted to preserve fine man-made details, of major interest for most user applications. For this reason, edge-based segmentation methods are likely preferable to region-based methods. The latter, in fact, e.g. [1], [2], succeed in taking into account long range interactions and hence perform typically well in terms of “global” accuracy, but exhibit a lower “local” accuracy with respect to former, [3].
  • Keywords
    geophysical image processing; geophysical techniques; image segmentation; VHR image segmentation; complex urban scenarios; edge-based segmentation methods; fine man-made details; global accuracy; local accuracy; marker-controlled watershed segmentation; region-based methods; very high resolution images; Accuracy; Image edge detection; Image resolution; Image segmentation; Merging; Skeleton; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351713
  • Filename
    6351713