Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images
Retinal blood vessels are linked with hypertension and cardiovascular disease. It is generally known that vascular bifurcation is mainly involved in varying blood flow velocity as well as its pressure. This paper presents an efficient method for automatic location of blood vessel bifurcations in dig...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
Springer Nature Singpore
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/63125 |
| _version_ | 1848761001302818816 |
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| author | Chaichana, T. Sun, Zhonghua Barrett-Baxendale, M. Nagar, A. |
| author_facet | Chaichana, T. Sun, Zhonghua Barrett-Baxendale, M. Nagar, A. |
| author_sort | Chaichana, T. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Retinal blood vessels are linked with hypertension and cardiovascular disease. It is generally known that vascular bifurcation is mainly involved in varying blood flow velocity as well as its pressure. This paper presents an efficient method for automatic location of blood vessel bifurcations in digital eye fundus images. The proposed algorithm comprised of three main steps: image enhancement, fuzzy clustering, and searching vascular bifurcation. The purposed algorithm revealed successful detection of bifurcations upon test images. Results showed improved diagnostic accuracy in identifying bifurcations with use of the proposed algorithm and encourage its use for further applications such as image registration, personal identification and pre-clinical scanning of retina diagnosis. |
| first_indexed | 2025-11-14T10:24:44Z |
| format | Conference Paper |
| id | curtin-20.500.11937-63125 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:24:44Z |
| publishDate | 2017 |
| publisher | Springer Nature Singpore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-631252018-02-06T06:15:20Z Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images Chaichana, T. Sun, Zhonghua Barrett-Baxendale, M. Nagar, A. Retinal blood vessels are linked with hypertension and cardiovascular disease. It is generally known that vascular bifurcation is mainly involved in varying blood flow velocity as well as its pressure. This paper presents an efficient method for automatic location of blood vessel bifurcations in digital eye fundus images. The proposed algorithm comprised of three main steps: image enhancement, fuzzy clustering, and searching vascular bifurcation. The purposed algorithm revealed successful detection of bifurcations upon test images. Results showed improved diagnostic accuracy in identifying bifurcations with use of the proposed algorithm and encourage its use for further applications such as image registration, personal identification and pre-clinical scanning of retina diagnosis. 2017 Conference Paper http://hdl.handle.net/20.500.11937/63125 Springer Nature Singpore restricted |
| spellingShingle | Chaichana, T. Sun, Zhonghua Barrett-Baxendale, M. Nagar, A. Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title | Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title_full | Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title_fullStr | Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title_full_unstemmed | Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title_short | Automatic Location of Blood Vessel Bifurcations in Digital Eye Fundus Images |
| title_sort | automatic location of blood vessel bifurcations in digital eye fundus images |
| url | http://hdl.handle.net/20.500.11937/63125 |