Automated segmentation of foveal avascular zone in digital colour retinal fundus images
| Main Authors: | Nugroho, Adi, Dharmawan, Dhimas Arief, litasari, litasari, Listyalina, Latifah |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/273914/1/Automated%20segmentation%20of%20foveal%20avascular%20zone%20in.pdf https://repository.ugm.ac.id/273914/ http://www.inderscience.com/offer.php?id=82223 |
Daftar Isi:
- One of the diabetes complications, diabetic retinopathy (DR), is characterised by the damage of retinal vessels, especially on the macular region. Located at the centre of retina and appeared as a cloudy dark spot in colour fundus image, macula is a fundamental area for high acumen of colour vision. Foveal avascular zone (FAZ) is located at the centre of macula and encircled by interconnected capillary beds. FAZ has a round or oval shape with an average diameter of 500–600 μm. In DR patients, the FAZ becomes larger due to the loss of perifoveal retinal vessels. In this study, a scheme for automated segmentation of FAZ in colour fundus images is proposed. The scheme consists of four stages: pre-processing, image enhancement, vessels segmentation and FAZ segmentation. Result shows that the average sensitivity, specificity and accuracy obtained are 80.86%, 99.17% and 97.49%. This indicates that the proposed scheme has successfully detected the FAZ.