In this work it is shown that vascular structures of the human retinarepresent geometrical multifractals, characterized by a hierarchy of exponentsrather then a single fractal dimension. A number of retinal images from theSTARE database (www.parl.clemson.edu/stare) are analyzed, corresponding to bothnormal and pathological states of the retina. In all studied cases a clearlymultifractal behavior is observed, where capacity dimension is always found tobe smaller then the information dimension, which is in turn always smaller thenthe correlation dimension, all the three being significantly lower then the DLA(Diffusion Limited Aggregation) fractal dimension. We also observe a tendencyof images corresponding to the pathological states of the retina to have lowergeneralized dimensions and a shifted spectrum range, in comparison with thenormal cases.
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