• DocumentCode
    2139323
  • Title

    Oriented Smoothness Aided Harmonic Gradient Vector Flow for Active Contours

  • Author

    Li, Kun ; Wang, Yuanquan

  • Author_Institution
    Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new external force called oriented smoothness aided harmonic gradient vector flow (OSAHGVF) is proposed for active contours. This proposed method incorporate the oriented smoothness borrowed from optical flow into the harmonic gradient vector flow (HGVF) model, therefore, there are three terms, i.e., the harmonic term, the oriented smoothness term and the fidelity term, in the model. Two weighting functions are utilized to regularize the effect of the first two terms respectively, aiming at extending the capture range and preserving object boundaries simultaneously. Experiments and comparisons with the gradient vector flow (GVF) are presented to show the advantages of this approach, including superior noise robustness, edge-preserving and C-shape concavity convergence.
  • Keywords
    gradient methods; image segmentation; surface topography; C-shape concavity convergence; active contour; active contours; edge preservation; fidelity term; image segmentation; object boundary; oriented smoothness aided harmonic gradient vector flow; weighting functions; Active contours; Computer science education; Computer vision; Convergence; Diffusion processes; Educational technology; Image motion analysis; Laboratories; Noise robustness; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303489
  • Filename
    5303489