• DocumentCode
    2900848
  • Title

    Multiple active contour models with application to region extraction

  • Author

    Abe, Toru ; Matsuzawa, Yuki

  • Author_Institution
    Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    626
  • Abstract
    For interactive image manipulation, a new region extraction method using active contour model (ACM) is proposed. In this method, to the region of a single object, multiple ACMs controlled by the statistical characteristics of image data are applied. These ACMs compete with each other, and each ACM extracts a subregion of uniform image properties. The entire region of the object is extracted as a set of several subregions. This method requires multiple initial ACMs set. To ease this initial setting, a procedure for making initial ACMs from a few initial curves is also proposed. In this procedure, a few initial curves are set in an image, each initial curve is divided into appropriate number segments at the optimal loci, and multiple initial ACMs are made by dilating these segments
  • Keywords
    computer vision; edge detection; feature extraction; image segmentation; optimisation; parameter estimation; statistical analysis; active contour models; feature extraction; image segmentation; initial curves; interactive images; optimal loci; parameter estimation; region extraction; statistical analysis; Active contours; Active shape model; Application software; Computer science; Data mining; Deformable models; Image processing; Image segmentation; Information science; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905416
  • Filename
    905416