• DocumentCode
    1288025
  • Title

    Image segmentation based on modified graph-cut algorithm

  • Author

    Le, Trung ; Jung, Seung-Won ; Choi, Kwang-Seong ; Ko, Sung-Jea

  • Author_Institution
    Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
  • Volume
    46
  • Issue
    16
  • fYear
    2010
  • Firstpage
    1121
  • Lastpage
    1123
  • Abstract
    The regularising parameter of the energy function in the graph-cut based image segmentation methods should be carefully determined since it strongly affects the image segmentation result. Presented is a modified graph-cut technique using a novel energy function without the regularising parameter for image segmentation. In addition, a mixture colour model is employed to apply the proposed technique to colour image segmentation effectively. Experimental results show that the proposed method outperforms the conventional graph-cut algorithm in terms of segmentation accuracy and ease of use.
  • Keywords
    graph theory; image colour analysis; image segmentation; colour image segmentation; energy function; graph-cut based image segmentation methods; graph-cut technique; mixture colour model; modified graph-cut algorithm; regularising parameter; segmentation accuracy;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.1692
  • Filename
    5542565