Image analysis of the normal human retinal vasculature using fractal geometry
Journal Title: Human & Veterinary Medicine - International Journal of the Bioflux Society - Year 2012, Vol 4, Issue 1
Abstract
The main objective of this study is to determine a global index of the geometric complexity of the human retinal vascular network using the fractal geometry. Material and Methods: The fractal analysis of digital retinal images was performed with the Image J fractal analysis software and the fractal dimensions were calculated using the standard box-counting method. Results: The mean fractal dimension of normal retinal vascular network was 1.6147 ± 0.0151 in segmented variant and 1.5554 ± 0.0239 in skeletonised variant. Also, the mean lacunarity parameter was 0.5210 ± 0.0343 in segmented version and 0.2916 ± 0.0218 in skeletonised version.
Authors and Affiliations
Ştefan Ţălu, Stefano Giovanzana
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