• DocumentCode
    3296373
  • Title

    Gradient vector flow fast geodesic active contours

  • Author

    Paragios, Nikos ; Mellina-Gottardo, Olivier ; Ramesh, Visvanathan

  • Author_Institution
    Imaging & Visualization Dept., Siemens Corp. Res. Inc., Princeton, NJ, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    67
  • Abstract
    This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is relatively free from the initial curve position. Towards this end, it makes use of a recently introduced external boundary force, the gradient vector field that refers to a spatial diffusion of the boundary information. According to the proposed flow, the traditional boundary attraction term is replaced with a new force that guides the propagation to the object boundaries from both sides. This new geometric flow is implemented using a level set approach, thereby allowing dealing naturally with topological changes and important shape deformations. Moreover the level set motion equations are implemented using a recently introduced numerical approximation scheme, the Additive Operator Splitting Schema (AOS) which has a fast convergence rate and stable behavior. Encouraging experimental results are provided using real images
  • Keywords
    edge detection; feature extraction; Additive Operator Splitting Schema; boundary extraction; convergence rate; geodesic active contours; geometric flow; Active contours; Computer vision; Data visualization; Deformable models; Educational institutions; Equations; Image converters; Image segmentation; Level set; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7695-1143-0
  • Type

    conf

  • DOI
    10.1109/ICCV.2001.937500
  • Filename
    937500