• DocumentCode
    3095551
  • Title

    Region growing and region merging image segmentation

  • Author

    Ikonomatakis, N. ; Plataniotis, K.N. ; Zervakis, M. ; Venetsanopoulos, A.N.

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • Volume
    1
  • fYear
    1997
  • fDate
    2-4 Jul 1997
  • Firstpage
    299
  • Abstract
    Image segmentation is an important first task of any image analysis process. This paper presents a seeded region growing and merging algorithm that was created to segment grey scale and colour images. The approach starts with a set of seed pixels and from these grows regions by appending to each seed pixel those neighbouring pixels that satisfy a certain predicate. Small regions of far away values were merged to neighbouring regions while regions of similar value were also merged. Homogeneity functions are introduced for both grey scale and colour images
  • Keywords
    image colour analysis; image segmentation; colour images; grey scale images; homogeneity functions; image analysis; image segmentation; region growing; region merging; seed pixels; Biomedical imaging; Clustering algorithms; Failure analysis; Focusing; Image color analysis; Image edge detection; Image segmentation; Merging; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
  • Conference_Location
    Santorini
  • Print_ISBN
    0-7803-4137-6
  • Type

    conf

  • DOI
    10.1109/ICDSP.1997.628077
  • Filename
    628077