• DocumentCode
    1115205
  • Title

    Seeded region growing

  • Author

    Adams, Rolf ; Bischof, Leanne

  • Author_Institution
    Div. of Math. & Stat., CSIRO, North Ryde, NSW, Australia
  • Volume
    16
  • Issue
    6
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    641
  • Lastpage
    647
  • Abstract
    We present here a new algorithm for segmentation of intensity images which is robust, rapid, and free of tuning parameters. The method, however, requires the input of a number of seeds, either individual pixels or regions, which will control the formation of regions into which the image will be segmented. In this correspondence, we present the algorithm, discuss briefly its properties, and suggest two ways in which it can be employed, namely, by using manual seed selection or by automated procedures
  • Keywords
    image segmentation; intensity image segmentation; seed selection; seeded region growing; Australia; Filters; Image segmentation; Mathematics; Pixel; Robustness; Statistics; Surface fitting; Surface morphology; Surface topography;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.295913
  • Filename
    295913