| Yazarlar |
Salma M Boubakar Khalifa Lbargathe
|
Arş. Gör. Ersin KAMBERLİ
Kastamonu Üniversitesi, Türkiye |
Prof. Dr. Fatma KANDEMİRLİ
Kastamonu Üniversitesi, Türkiye |
|
Javad Rahebş
|
| Özet |
| In this paper, the H-minima transform is used for blood vessel segmentation. The aim of this study is to get the high accuracy of blood vessel segmentation in retinal images. In this study the good result and good performance were got. We compared our result with other methods. Also for simulation result we implemented on DRIVE and STARE database. The proposed method shows very remarkable performance on pathological retinal images. For the implementing of the proposed method MATLAB 2019a software is used. The running time of this method was 1 s for each image and the average accuracy for STARE dataset and DRIVE dataset achieved to 0.9591 and 0.9672 respectively. |
| Anahtar Kelimeler |
| Fundus camera | Image processing | Retina image |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | MULTIMEDIA TOOLS AND APPLICATIONS |
| Dergi ISSN | 1380-7501 |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 09-2021 |
| Makale Linki | http://link.springer.com/10.1007/s11042-020-09646-3 |
