• DocumentCode
    1486737
  • Title

    Geodesic saliency of watershed contours and hierarchical segmentation

  • Author

    Najman, Laurent ; Schmitt, Michel

  • Author_Institution
    ArSciMed, Paris, France
  • Volume
    18
  • Issue
    12
  • fYear
    1996
  • fDate
    12/1/1996 12:00:00 AM
  • Firstpage
    1163
  • Lastpage
    1173
  • Abstract
    The watershed is one of the latest segmentation tools developed in mathematical morphology. In order to prevent its oversegmentation, the notion of dynamics of a minimum, based on geodesic reconstruction, has been proposed. In this paper, we extend the notion of dynamics to the contour arcs. This notion acts as a measure of the saliency of the contour. Contrary to the dynamics of minima, our concept reflects the extension and shape of the corresponding object in the image. This representation is also much more natural, because it is expressed in terms of partitions of the plane, i.e., segmentations. A hierarchical segmentation process is then derived, which gives a compact description of the image, containing all the segmentations one can obtain by the notion of dynamics, by means of a simple thresholding. Finally, efficient algorithms for computing the geodesic reconstruction as well as the dynamics of contours are presented
  • Keywords
    image reconstruction; image segmentation; mathematical morphology; contour arcs; geodesic reconstruction; geodesic saliency; hierarchical segmentation; mathematical morphology; segmentation tools; watershed contours; Geophysics computing; Hysteresis; Image analysis; Image reconstruction; Image segmentation; Level measurement; Morphology; Noise reduction; Partitioning algorithms; Shape;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.546254
  • Filename
    546254