• DocumentCode
    457149
  • Title

    Evaluating Hierarchical Graph-based Segmentation

  • Author

    Haxhimusa, Yll ; Ion, Adrian ; Kropatsch, Walter G.

  • Author_Institution
    Fac. of Informatics, Vienna Univ. of Technol.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    195
  • Lastpage
    198
  • Abstract
    Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of ´region size variation´
  • Keywords
    graph theory; image segmentation; hierarchical graph-based segmentation; human visual inspection; region size variation; Bridges; Brightness; Humans; Image processing; Image segmentation; Informatics; Inspection; Pattern recognition; Pixel; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.511
  • Filename
    1699180
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457149