• DocumentCode
    381993
  • Title

    Scalable discrepancy measures for segmentation evaluation

  • Author

    Odet, C. ; Belaroussi, B. ; Benoit-Cattin, H.

  • Author_Institution
    CREATIS, CNRS, Villeurbanne, France
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Abstract
    We propose a set of scalable discrepancy measures that may be applied for segmentation evaluation when a reference is known. The proposed measures take into account under and over detected points within an adjustable area. They give the intensity of the discrepancy and its relative position. Furthermore a scale parameter allows the accuracy of the measures to be adjusted.
  • Keywords
    computer vision; error analysis; image segmentation; computer vision; image analysis; image segmentation evaluation; over detected points; scalable discrepancy measures; scale parameter; under detected points; Area measurement; Computer vision; Detectors; Equations; Feature extraction; Humans; Image edge detection; Image quality; Image segmentation; Position measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1038142
  • Filename
    1038142
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=381993