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Comparison of various fractal analysis methods for retinal images

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dc.contributor.author Raman, Sundaresan
dc.date.accessioned 2023-01-05T10:13:38Z
dc.date.available 2023-01-05T10:13:38Z
dc.date.issued 2021-01
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S1746809420303736
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8315
dc.description.abstract Retinal vessels are known to behave like a fractal, waherein a part of a geometrical pattern resembles the whole. Although the box counting method has been used most commonly, currently there exists no "best method" for fractal analysis on retinal vessels. In the present study we compared the different methods of fractal analysis of retinal images. This study included 43 normal retinal images from public databases (STARE & DRIVE) and 40 retinal images (20 normal and 20 diseased) collected from an epidemiological study database (Sankara Nethralaya diabetic retinopathy epidemiology and molecular genetics study; SNDREAMS). In our study we calculated and compared the values of fractal dimensions by Box counting method, Hausdorff Fractal Dimension (HFD), Modified Hausdorff Fractal Dimension (MHFD) and Fourier Fractal Dimension (FFD). The coefficient of variation(CV) was the least with HFD methods in different databases (DRIVE & STARE: −0.088, SNDREAMS Normal retinal images: −0.117, SNDREAMS Diseased retinal images: −0.103). Our study showed that HFD method was the best method to calculate the fractal dimensions of normal and diseased retinal images. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Computer Science en_US
dc.subject Fractal analysis en_US
dc.subject Retina en_US
dc.subject Diabetic retinopathy en_US
dc.title Comparison of various fractal analysis methods for retinal images en_US
dc.type Article en_US


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