• DocumentCode
    955465
  • Title

    Improved fractal geometry based texture segmentation technique

  • Author

    Chaudhuri, B.B. ; Sarkar, N. ; Kundu, P.

  • Author_Institution
    Electron. & Commun. Sci. Unit, Indian Stat. Inst., Calcutta, India
  • Volume
    140
  • Issue
    5
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    233
  • Lastpage
    241
  • Abstract
    The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, FD of below (low) gray level image, and multifractal of order two. A modified box-counting approach is proposed to estimate the FD and computed features all are normalised in the same range
  • Keywords
    fractals; image segmentation; box-counting approach; feature domain smoothing; fractal dimension; fractal geometry based texture segmentation technique; gray level image; k-nearest neighbour classifier; minimum distance classifier; natural textures; nonsupervised clustering;
  • fLanguage
    English
  • Journal_Title
    Computers and Digital Techniques, IEE Proceedings E
  • Publisher
    iet
  • ISSN
    0143-7062
  • Type

    jour

  • Filename
    237915