Retina blood vessel extraction based on Kirsch’s template method
Analysis on the retina blood vessels from fundus images have been widely used in the medical community to detect the disorder condition in the blood vessels. An automated tracing of retina blood vessel can help to provide valuable computer-assisted diagnosis for the ophthalmic disorders. Thus, it he...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science IAES
2020
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| Online Access: | http://eprints.uthm.edu.my/5263/ http://eprints.uthm.edu.my/5263/1/AJ%202020%20%28130%29.pdf |
| _version_ | 1848888507304509440 |
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| author | Zolkifli, Nur Syazlin Nazari, Ain Mustafa, Mohd Marzuki Wan Zakaria, Wan NurShazwani Suriani, Nor Surayahani Wan Kairuddin, Wan Nur Hafsha |
| author_facet | Zolkifli, Nur Syazlin Nazari, Ain Mustafa, Mohd Marzuki Wan Zakaria, Wan NurShazwani Suriani, Nor Surayahani Wan Kairuddin, Wan Nur Hafsha |
| author_sort | Zolkifli, Nur Syazlin |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Analysis on the retina blood vessels from fundus images have been widely used in the medical community to detect the disorder condition in the blood vessels. An automated tracing of retina blood vessel can help to provide valuable computer-assisted diagnosis for the ophthalmic disorders. Thus, it helps to reduce the time for the ophthalmologist to analyses and diagnose the result of the fundus image of patient. The purpose of this research is to build an algorithm to trace the retina blood vessels. The method to be used in this research consist of two parts which are the pre-processing part and the feature extraction by using the Kirsch’s template. Combining the pre-processing at the early stage and feature extraction at the next stage is applied to extract the edges of the blood vessels. The proposed algorithm was verified by using two online databases, DRIVE and HRF to validate the performance measures. Hence, proposed method is capable to extract the retina blood vessel and give the accuracy of 0.7917, the sensitivity of 0.9077 and the specificity of 0.7215. In conclusion, the extraction of the blood vessels is highly recommended as the early screening stage for the eye diseases beneficially |
| first_indexed | 2025-11-15T20:11:23Z |
| format | Article |
| id | uthm-5263 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:11:23Z |
| publishDate | 2020 |
| publisher | Institute of Advanced Engineering and Science IAES |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-52632022-01-06T08:17:57Z http://eprints.uthm.edu.my/5263/ Retina blood vessel extraction based on Kirsch’s template method Zolkifli, Nur Syazlin Nazari, Ain Mustafa, Mohd Marzuki Wan Zakaria, Wan NurShazwani Suriani, Nor Surayahani Wan Kairuddin, Wan Nur Hafsha RC Internal medicine T Technology (General) Analysis on the retina blood vessels from fundus images have been widely used in the medical community to detect the disorder condition in the blood vessels. An automated tracing of retina blood vessel can help to provide valuable computer-assisted diagnosis for the ophthalmic disorders. Thus, it helps to reduce the time for the ophthalmologist to analyses and diagnose the result of the fundus image of patient. The purpose of this research is to build an algorithm to trace the retina blood vessels. The method to be used in this research consist of two parts which are the pre-processing part and the feature extraction by using the Kirsch’s template. Combining the pre-processing at the early stage and feature extraction at the next stage is applied to extract the edges of the blood vessels. The proposed algorithm was verified by using two online databases, DRIVE and HRF to validate the performance measures. Hence, proposed method is capable to extract the retina blood vessel and give the accuracy of 0.7917, the sensitivity of 0.9077 and the specificity of 0.7215. In conclusion, the extraction of the blood vessels is highly recommended as the early screening stage for the eye diseases beneficially Institute of Advanced Engineering and Science IAES 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/5263/1/AJ%202020%20%28130%29.pdf Zolkifli, Nur Syazlin and Nazari, Ain and Mustafa, Mohd Marzuki and Wan Zakaria, Wan NurShazwani and Suriani, Nor Surayahani and Wan Kairuddin, Wan Nur Hafsha (2020) Retina blood vessel extraction based on Kirsch’s template method. Indonesian Journal of Electrical Engineering and Computer Science, 18 (1). pp. 318-325. ISSN 2502-4752 https://dx.doi.org/10.11591/ijeecs.v18.i1.pp318-325 |
| spellingShingle | RC Internal medicine T Technology (General) Zolkifli, Nur Syazlin Nazari, Ain Mustafa, Mohd Marzuki Wan Zakaria, Wan NurShazwani Suriani, Nor Surayahani Wan Kairuddin, Wan Nur Hafsha Retina blood vessel extraction based on Kirsch’s template method |
| title | Retina blood vessel extraction based on Kirsch’s template method |
| title_full | Retina blood vessel extraction based on Kirsch’s template method |
| title_fullStr | Retina blood vessel extraction based on Kirsch’s template method |
| title_full_unstemmed | Retina blood vessel extraction based on Kirsch’s template method |
| title_short | Retina blood vessel extraction based on Kirsch’s template method |
| title_sort | retina blood vessel extraction based on kirsch’s template method |
| topic | RC Internal medicine T Technology (General) |
| url | http://eprints.uthm.edu.my/5263/ http://eprints.uthm.edu.my/5263/ http://eprints.uthm.edu.my/5263/1/AJ%202020%20%28130%29.pdf |