• DocumentCode
    3063368
  • Title

    A new paradigm for segmentation

  • Author

    Salotti, Marc ; Garbay, Catherine

  • Author_Institution
    IMAG, CERMO, Grenoble, France
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    611
  • Lastpage
    614
  • Abstract
    The major problem in the segmentation task is a problem of decision. The authors propose five guidelines to solve the problem and present the software architecture of a low-level segmentation system that would solve the problem according to the guidelines. They have already developed one module: a region growing method that aggregates pixels according to the type of the region and some thresholds calculated dynamically. Some results obtained are very encouraging. The authors attempt to detect edges with the same philosophy
  • Keywords
    computer vision; edge detection; image segmentation; edge detection; image segmentation; low level computer vision; region growing method; software architecture; thresholds; Aggregates; Application software; Collaboration; Detectors; Image segmentation; Manufacturing; Merging; Microscopy; Reconnaissance; Software architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202061
  • Filename
    202061