• DocumentCode
    669265
  • Title

    Multifractal analysis of human peripapillary atrophy

  • Author

    Talu, Stefan ; Talu, Mihai ; Fazekas, Zoltan ; Giovanzana, Stefano

  • Author_Institution
    Dept. of AET, Discipline Descriptive Geometry & Eng. Graphics, Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    705
  • Lastpage
    710
  • Abstract
    Multifractal characteristics of the retinal vascular networks in healthy patients and patients with peripapillary atrophy (PPA) are compared in the paper. Segmented and skeletonized fundus images from the DRIVE database were analyzed over the image region corresponding to the macular area and over the whole image. The regional and overall multifractal characteristics of fundi could serve as further clues in detecting human PPA and for quantifying the pathological stages of PPA cases.
  • Keywords
    diseases; eye; image segmentation; medical image processing; object detection; DRIVE database; PPA pathological stages; human PPA detection; human peripapillary atrophy; macular area; multifractal analysis; multifractal characteristics; patients; retinal vascular networks; segmented fundus images; skeletonized fundus images; Atrophy; Biomedical imaging; Fractals; Image segmentation; Optical imaging; Optical signal processing; Retina; Lacunarity; Multifractals; Peripapillary atrophy; Retinal blood vessel network; Retinal image analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on
  • Conference_Location
    Trieste
  • Type

    conf

  • DOI
    10.1109/ISPA.2013.6703829
  • Filename
    6703829