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
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;
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2013 8th International Symposium on
Conference_Location :
Trieste
DOI :
10.1109/ISPA.2013.6703829
