Box-counting fractal dimension algorithm variations on retina images

Box-counting fractal dimension algorithm variations on retina images

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...

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Main Authors: Che Azemin, Mohd Zulfaezal, Abd Hamid, Fadilah, Jie, Jin Wang, Kawasaki, Ryo, Kumar, Dinesh Kant
Format: Conference or Workshop Item
Language:English
English
Published: Springer International Publishing 2016
Subjects:
RE Ophthalmology
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/1/46904.pdf
http://irep.iium.edu.my/46904/4/46904_Box-counting%20fractal%20dimension_scopus.pdf
id iium-46904
recordtype eprints
spelling iium-469042017-10-22T09:32:43Z http://irep.iium.edu.my/46904/ Box-counting fractal dimension algorithm variations on retina images Che Azemin, Mohd Zulfaezal Abd Hamid, Fadilah Jie, Jin Wang Kawasaki, Ryo Kumar, Dinesh Kant RE Ophthalmology TK7885 Computer engineering 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. Springer International Publishing 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/46904/1/46904.pdf application/pdf en http://irep.iium.edu.my/46904/4/46904_Box-counting%20fractal%20dimension_scopus.pdf 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. http://link.springer.com/chapter/10.1007/978-3-319-24584-3_27 10.1007/978-3-319-24
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic RE Ophthalmology
TK7885 Computer engineering
spellingShingle RE Ophthalmology
TK7885 Computer engineering
Che Azemin, Mohd Zulfaezal
Abd Hamid, Fadilah
Jie, Jin Wang
Kawasaki, Ryo
Kumar, Dinesh Kant
Box-counting fractal dimension algorithm variations on retina images
description 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.
format Conference or Workshop Item
author Che Azemin, Mohd Zulfaezal
Abd Hamid, Fadilah
Jie, Jin Wang
Kawasaki, Ryo
Kumar, Dinesh Kant
author_facet Che Azemin, Mohd Zulfaezal
Abd Hamid, Fadilah
Jie, Jin Wang
Kawasaki, Ryo
Kumar, Dinesh Kant
author_sort Che Azemin, Mohd Zulfaezal
title Box-counting fractal dimension algorithm variations on retina images
title_short Box-counting fractal dimension algorithm variations on retina images
title_full Box-counting fractal dimension algorithm variations on retina images
title_fullStr Box-counting fractal dimension algorithm variations on retina images
title_full_unstemmed Box-counting fractal dimension algorithm variations on retina images
title_sort box-counting fractal dimension algorithm variations on retina images
publisher Springer International Publishing
publishDate 2016
url http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/
http://irep.iium.edu.my/46904/1/46904.pdf
http://irep.iium.edu.my/46904/4/46904_Box-counting%20fractal%20dimension_scopus.pdf
first_indexed 2023-09-18T21:06:45Z
last_indexed 2023-09-18T21:06:45Z
_version_ 1777410984538800128

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