Vascular intersection detection in retina fundus images using a new hybrid approach
The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2010
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| Online Access: | http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf |
| _version_ | 1825644193283833856 |
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| author | Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael |
| author_facet | Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael |
| author_sort | Aibinu, Abiodun Musa |
| collection | IIUM |
| description | The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods. |
| first_indexed | 2024-03-05T22:29:25Z |
| format | Article |
| id | oai:generic.eprints.org:1482 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:29:25Z |
| publishDate | 2010 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oai:generic.eprints.org:14822011-10-03T06:56:36Z http://irep.iium.edu.my/1482/ Vascular intersection detection in retina fundus images using a new hybrid approach Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael R Medicine (General) The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods. Elsevier 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf Aibinu, Abiodun Musa and Iqbal, Muhammad Imran and Shafie, Amir Akramin and Salami, Momoh Jimoh Emiyoka and Nilsson, Mikael (2010) Vascular intersection detection in retina fundus images using a new hybrid approach. Computers in Biology and Medicine, 40 (1). pp. 81-89. ISSN 0010-4825 http://www.elsevier.com/locate/cbm |
| spellingShingle | R Medicine (General) Aibinu, Abiodun Musa Iqbal, Muhammad Imran Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka Nilsson, Mikael Vascular intersection detection in retina fundus images using a new hybrid approach |
| title | Vascular intersection detection in retina fundus images using a new hybrid approach |
| title_full | Vascular intersection detection in retina fundus images using a new hybrid approach |
| title_fullStr | Vascular intersection detection in retina fundus images using a new hybrid approach |
| title_full_unstemmed | Vascular intersection detection in retina fundus images using a new hybrid approach |
| title_short | Vascular intersection detection in retina fundus images using a new hybrid approach |
| title_sort | vascular intersection detection in retina fundus images using a new hybrid approach |
| topic | R Medicine (General) |
| url | http://irep.iium.edu.my/1482/1/OUR_JOURNAL_PAPER.pdf |
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