• DocumentCode
    2015441
  • Title

    Choosing the number of labels in image segmentation

  • Author

    Liu, Y. ; Draper, J.H. ; Gay, A.P. ; Howarth, C.N. ; Martin, R.R.

  • Author_Institution
    Aberystwyth Univ., Aberystwyth, UK
  • fYear
    2011
  • fDate
    5-9 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.
  • Keywords
    image segmentation; automatic image segmentation; image analysis; objective function; segmentation errors; Databases; Histograms; Image color analysis; Image segmentation; Labeling; Markov processes; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4577-0017-0
  • Electronic_ISBN
    1946-0740
  • Type

    conf

  • DOI
    10.1109/ETFA.2011.6059090
  • Filename
    6059090
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2015441