• DocumentCode
    315413
  • Title

    Multi-scale adaptive segmentation using edge and region based attributes

  • Author

    McCane, Brendan ; Caelli, Terry

  • Author_Institution
    Dept. of Comput. Sci., James Cook Univ. of North Queensland, Townsville, Qld., Australia
  • Volume
    1
  • fYear
    1997
  • fDate
    27-23 May 1997
  • Firstpage
    72
  • Abstract
    The authors present an adaptive multi-scale algorithm using edge and region information for segmenting intensity images into closed regions. The need for segmentation is determined by region statistics and segmentation is actually performed using edge based information. Results are shown for a number of images displaying significant improvements over mono-scale segmentation
  • Keywords
    adaptive systems; edge detection; image segmentation; statistics; adaptive multi-scale algorithm; closed regions; edge based attributes; intensity image segmentation; multi-scale adaptive segmentation; region based attributes; region statistics; Australia; Character recognition; Computer science; Computer vision; Data mining; Image converters; Image segmentation; Layout; Object recognition; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-3755-7
  • Type

    conf

  • DOI
    10.1109/KES.1997.616854
  • Filename
    616854
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=315413