• DocumentCode
    1298521
  • Title

    Geometric active deformable models in shape modeling

  • Author

    Wang, Haiyan ; Ghosh, Bijoy

  • Author_Institution
    Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
  • Volume
    9
  • Issue
    2
  • fYear
    2000
  • fDate
    2/1/2000 12:00:00 AM
  • Firstpage
    302
  • Lastpage
    308
  • Abstract
    This paper analyzes the problem of shape modeling using the principle of active geometric deformable models. While the basic modeling technique already exists in the literature, we highlight many of its drawbacks and discuss their source and steps to overcome them. We propose a new stopping criterion to address the stopping problem. We also propose to apply a level set algorithm to implement the active geometric deformable models, thereby handling topology changes automatically. To alleviate the numerical problems associated with the implementation of the level set algorithm, we propose a new adaptive multigrid narrow band algorithm. All the proposed new changes have been illustrated with experiments with synthetic images and medical images
  • Keywords
    adaptive signal processing; computational geometry; image recognition; medical image processing; active contour; adaptive multigrid narrow band algorithm; convergence speed; experiments; geometric active deformable models; level set algorithm; medical images; numerical problems; shape modeling; shape recognition; stopping criterion; stopping problem; synthetic images; topology changes; Active contours; Active shape model; Biomedical imaging; Computer vision; Deformable models; Differential equations; Level set; Narrowband; Solid modeling; Topology;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.821748
  • Filename
    821748