• DocumentCode
    3100171
  • Title

    A fast image segmentation scheme

  • Author

    Kunlin, Thomas ; Lacassagne, Lionel ; Mérigot, Alain

  • Author_Institution
    Inst. d´´Electron. Fondamentale, Univ. Paris Sud, Orsay, France
  • fYear
    2004
  • fDate
    19-23 April 2004
  • Firstpage
    351
  • Lastpage
    352
  • Abstract
    The split and merge segmentation method is a well-known method to extract homogeneous regions from an image. It consists to recursively split the image in four regular quadrants until every segment is homogeneous, then to merge the obtained regions as long as the merging respects some homogeneity criterion. From the experiment results an efficient optimized HP split criterion is obtained by using scan-based implementation.
  • Keywords
    feature extraction; image segmentation; Horowitz Pavlidis split; image extraction; scan-based implementation; split-merge segmentation method; Computational efficiency; Data structures; Image processing; Image segmentation; Lakes; Merging; Optimization methods; Pixel; Postal services; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
  • Print_ISBN
    0-7803-8482-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2004.1307774
  • Filename
    1307774