• DocumentCode
    3448652
  • Title

    Image Segmentation Using Multiscale Gradient Toboggan

  • Author

    Li, Guo ; Liqun, Gao ; Zhao-Yu, Pian ; Kun, Wang

  • Author_Institution
    Northeastern Univ., Shenyang
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    2206
  • Lastpage
    2209
  • Abstract
    Toboggan is an important tool on image segmentation, and the performance of image segmentation based on toboggan mostly independent on the gradient image. A method of image segmentation was presented, which is toboggan segmentation. The gradient image is computed by using the multi-scale morphological gradient operation. The approach of region merging is used after toboggan segmentation. Region merging was carried out according to region area and region homogeneity. It was proved that the method was valid and more accurate than other common algorithms of image segmentation.
  • Keywords
    gradient methods; image segmentation; mathematical operators; merging; transforms; gradient image; image segmentation algorithm; multiscale morphological gradient operation; region combination; region homogeneity; region merging approach; toboggan segmentation; watershed transform; Clustering algorithms; Clustering methods; Computational complexity; Educational institutions; Image edge detection; Image segmentation; Information science; Merging; Partitioning algorithms; Pixel; multi-scale morphological gradient; region combination; toboggan; watershed transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318802
  • Filename
    4318802