• DocumentCode
    1403933
  • Title

    A robust snake implementation; a dual active contour

  • Author

    Gunn, Steve R. ; Nixon, Mark S.

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Southampton Univ., UK
  • Volume
    19
  • Issue
    1
  • fYear
    1997
  • fDate
    1/1/1997 12:00:00 AM
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    A conventional active contour formulation suffers difficulty in appropriate choice of an initial contour and values of parameters. Recent approaches have aimed to resolve these problems but can compromise other performance aspects. To relieve the problem in initialization, we use a dual active contour, which is combined with a local shape model to improve the parameterization. One contour expands from inside the target feature, the other contracts from the outside. The two contours are interlinked to provide a balanced technique with an ability to reject “weak” local energy minima
  • Keywords
    edge detection; dual active contour; initialization; local shape model; robust snake implementation; weak local energy minimum rejection; Active contours; Active shape model; Computer vision; Contracts; Data mining; Energy measurement; Energy resolution; Feature extraction; Gunn devices; Image edge detection; Pattern analysis; Robustness; Shape measurement; Signal resolution;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.566812
  • Filename
    566812