• DocumentCode
    1456913
  • Title

    Image segmentation and contour detection using fractal coding

  • Author

    Ida, Takashi ; Sambonsugi, Yoko

  • Author_Institution
    Inf. & Commun. Syst. Lab., Toshiba Corp., Kawasaki, Japan
  • Volume
    8
  • Issue
    8
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    968
  • Lastpage
    975
  • Abstract
    Fractal coding was applied to image segmentation and contour detection. The encoding method was the same as in conventional fractal coding, and the compressed code, which we call the fractal code, was used for image segmentation and contour detection instead of image reconstruction. An image can be segmented by calculating the basin of attraction on a mapping that is a set of local maps from the domain block to the range block. The local maps are parameterized using the fractal code, and contours of the objects in the image are detected by the inverse mapping from the range block to the domain block. Some objects in the test image Lena were segmented, and the contours were detected well. The proposed methods are expected to enable compressed codes to be used directly for image processing
  • Keywords
    data compression; edge detection; fractals; image coding; image representation; image segmentation; compressed code; compressed codes; computational complexity; contour detection; domain block; fractal code; fractal coding; image processing; image representation; image segmentation; inverse mapping; local maps; range block; Decoding; Fractals; Gray-scale; Image coding; Image processing; Image reconstruction; Image representation; Image segmentation; Image storage; Object detection;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.736726
  • Filename
    736726