• DocumentCode
    598209
  • Title

    Directional geodesic active contours

  • Author

    Gallego, Guillermo ; Ronda, J.I. ; Valdes, Alfonso

  • Author_Institution
    Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2561
  • Lastpage
    2564
  • Abstract
    We present a non-conformal metric that generalizes the geodesic active contours approach for image segmentation. The new metric is obtained by adding to the Euclidean metric an additional term that penalizes the misalignment of the curve with the image gradient and multiplying the resulting metric by a conformal factor that depends on the edge intensity. In this way, a closer fitting to the edge direction results. The provided experimental results address the computation of the geodesics of the new metric by applying a gradient descent to externally provided curves. The good performance of the proposed techniques is demonstrated in comparison with other active contours methods.
  • Keywords
    differential geometry; edge detection; gradient methods; image segmentation; Euclidean metric; conformal factor; directional geodesic active contours; edge intensity; image gradient; image segmentation; nonconformal metric; Active contours; Computer vision; Detectors; Image edge detection; Image segmentation; Magnetic resonance imaging; Measurement; Active contour; Riemannian metric; calculus of variations; edge detection; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467421
  • Filename
    6467421