• DocumentCode
    2376156
  • Title

    Fractal characterization of kidney tissue sections

  • Author

    Jin, X.C. ; Ong, S.H. ; Jayasooriah

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1136
  • Abstract
    Describes the selection of a practical method for estimating fractal dimensions of textured images. The methods due to Sarkar and Chaudhuri (1992), Peleg et al. (1984), and Jin et al. (1993) are compared in terms of accuracy and efficiency. Experiments show that the method due to Jin et al. with its scale limit criterion performs best. It is then used to characterize the severity of damage in kidney tissue sections
  • Keywords
    fractals; accuracy; damage severity; efficiency; fractal characterization; fractal dimensions; kidney tissue sections; practical method; scale limit criterion; textured images; Dynamic range; Equations; Fractals; Gallium nitride; Image texture analysis; Iris; Least squares approximation; Linear regression; Mean square error methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415361
  • Filename
    415361