• DocumentCode
    177924
  • Title

    Unsupervised Image Segmentation Contest

  • Author

    Haindl, M. ; Mikes, S.

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Prague, Czech Republic
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    1484
  • Lastpage
    1489
  • Abstract
    The unsupervised color image segmentation competition is taking place in conjunction with the ICPR 2014 conference. It aims to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets. The results evaluation is based on the standard performance assessment methodology using the online web verification server. We present in this paper the top six preliminary results submitted to this contest till the ICPR paper submission deadline.
  • Keywords
    file servers; image colour analysis; image segmentation; performance evaluation; unsupervised learning; online Web verification server; standard performance assessment methodology; unsupervised color image segmentation algorithms; unsupervised image segmentation contest; Benchmark testing; Clustering algorithms; Color; Computer vision; Histograms; Image segmentation; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.264
  • Filename
    6976974