Keypoint detectors and texture analysis based comprehensive comparison in different color spaces for automatic detection of the optic disc in retinal fundus images
Yazarlar (2)
Prof. Dr. Kemal AKYOL Kastamonu Üniversitesi, Türkiye
Baha Şen
Ankara Yıldırım Beyazıt Üniversitesi, Türkiye
Ankara Yıldırım Beyazıt Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(ESCI dergilerinde yayınlanan tam makale)
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| Dergi Adı | SN Applied Sciences | ||
| Dergi ISSN | 2523-3971 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | Web of Science - Emerging Sources Citation Index | ||
| Makale Dili | Türkçe | Basım Tarihi | 09-2021 |
| Kabul Tarihi | 04-08-2021 | Yayınlanma Tarihi | 14-08-2021 |
| Cilt / Sayı / Sayfa | 3 / 9 / – | DOI | 10.1007/s42452-021-04754-7 |
| Makale Linki | 10.1007/s42452-021-04754-7 | ||
| Özet |
| Detection of the optic disc which has similar brightness with the hard and soft exudate lesions seen in the early stage of diabetic retinopathy is very difficult due to different light conditions and contrast values. Automatic detection of these lesions by expert systems in the medical field is very important. In this context, we propose a new approach based on the analysis of color spaces, keypoint detectors, and texture for retinal fundus images. If the keypoint information is contained within the actual optic disc region, this is an important consideration for the automated detection of the optic disc. This study can be divided into five sections, respectively, image preprocessing, image processing, keypoint detection, texture analysis, and performance evaluation. The analyses of patch images compatible with the keypoints obtained from the Red–Green–Blue (RGB) image and its color channels were carried out. The … |
| Anahtar Kelimeler |
| Error distance | Jaccard index | Keypoint detection | Optic disc | Texture analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 4 |
| Google Scholar | 4 |