• DocumentCode
    327794
  • Title

    Multi-level contour segmentation using multiple segmentation primitives

  • Author

    Sluzek, Andrzej

  • Author_Institution
    Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    741
  • Abstract
    A multi-level technique of segmenting digital contours using multiple segmentation primitives is presented. At each level, the prospective instances of the primitives are detected. Then, the detected instances are ranked according to how accurately they approximate the corresponding fragment of the contour. Finally, the top-rank instances are selected for the segmentation output. The remaining parts of the contour are segmented at the next level (using primitives of smaller size), etc
  • Keywords
    computer vision; edge detection; image segmentation; digital contours; multi-level contour segmentation; multiple segmentation primitives; top-rank instances; Computer vision; Data mining; Detectors; Image analysis; Image edge detection; Image segmentation; Layout; Read only memory; Robots; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711252
  • Filename
    711252