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Box-counting fractal dimension algorithm variations on retina images

Che Azemin, Mohd Zulfaezal and Abd Hamid, Fadilah and Jie, Jin Wang and Kawasaki, Ryo and Kumar, Dinesh Kant (2016) Box-counting fractal dimension algorithm variations on retina images. In: 2nd International Conference on Communication and Computer Engineering, ICOCOE 2015, 9-11 June 2015, Phuket; Thailand.

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This research work investigates the influences of FD algorithm variation on the measurement of retinal vasculature complexity. Forty retinal vasculature images from publicly available dataset were subjected to four variations of 8 box-counting FD algorithm. Different positions of box-grid were found to significantly affect the measurement of FD (p < 0.0001, d = 0.746) due to non-identical vessels captured for measurement. By averaging multiple box-grid placements the FD mean shows no significant difference (p = 0.12, d = 0.124). Using different smoothing effect (big versus small) results in significantly different FD mean, the variation however was small (d = 0.211). The FD of skeletonized vasculature is significantly different than the segmentation (p < 0.0001) with a modest effect size (d = 0.613). More reliable FD measurement on retinal vasculature could be obtained by averaging the FD values using multiple positions of the grid.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6768/46904
Uncontrolled Keywords: box-counting, FD algorithm variation
Subjects: R Medicine > RE Ophthalmology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science
Depositing User: Dr. Mohd Zulfaezal Che Azemin
Date Deposited: 07 Mar 2016 11:36
Last Modified: 22 Oct 2017 17:32
URI: http://irep.iium.edu.my/id/eprint/46904

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