• DocumentCode
    3515200
  • Title

    Color image segmentation method using watershed algorithm and contour information

  • Author

    Shiji, Apako ; Hamada, Nozomu

  • Author_Institution
    Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    305
  • Abstract
    In this paper, we propose a segmentation method of color images with being rid of oversegmentation. Many conventional segmentation methods assign one region to each gathering of pixels which have similar property. But, these methods tend to oversegment by the optical influences. Besides, they do not use the edge information, therefore the edge is not always selected to the boundary. In this study, we propose a segmentation method of color images with being rid of oversegmentation. Our method uses not only the pixel´s property but also the information of regions´ contour. It consists of the first segmentation process and the region combining process. First, the given image is segmented in consideration of the edge information. Next, the obtained regions are combined according to pixels´ property and regions´ contour
  • Keywords
    computational geometry; image segmentation; color image segmentation method; contour information; pixels; watershed algorithm; Color; Filtering; Gray-scale; Image recognition; Image reconstruction; Image segmentation; Iris; Kernel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    0-7803-5467-2
  • Type

    conf

  • DOI
    10.1109/ICIP.1999.819600
  • Filename
    819600