• DocumentCode
    1619727
  • Title

    Robust extraction of low contrast edges using clustering-based segmentation and refinement

  • Author

    Lai, G.C. ; de Figueiredo, R.J.P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • Volume
    2
  • fYear
    1999
  • Firstpage
    700
  • Abstract
    This paper further explores the concept of line-support regions for extracting edges from low contrast images. The current method obtains the support regions by using clustering-based segmentation and refines the support regions by using split and merge techniques. Alternative methods for fitting line to cluster are presented.
  • Keywords
    edge detection; feature extraction; image segmentation; pattern clustering; clustering-based segmentation; edge extraction; line-support regions; low contrast edges; low contrast images; robust extraction; split and merge techniques; support regions refinement; Detectors; Electrons; Image edge detection; Image segmentation; Laboratories; Machine intelligence; Merging; Pixel; Poles and towers; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.822986
  • Filename
    822986
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1619727