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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Springer International Publishing
2016
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| Subjects: | |
| Online Access: | 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 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:15:10Z |
| format | Proceeding Paper |
| id | iium-46904 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:15:10Z |
| publishDate | 2016 |
| publisher | Springer International Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Box-counting fractal dimension algorithm variations on retina images |
| title_sort | box-counting fractal dimension algorithm variations on retina images |
| topic | RE Ophthalmology TK7885 Computer engineering |
| 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 |