Blood vessel segmentation and extraction using H-minima method based on image processing techniques
Yazarlar (4)
Salma M. Boubakar Khalifa Albargathe
Kastamonu Üniversitesi, Türkiye
Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ersin KAMBERLİ Kastamonu Üniversitesi, Türkiye
Prof. Dr. Fatma Kandemirli Kastamonu Üniversitesi, Türkiye
Javad Rahebi
Altinbas Universitesi, Türkiye
Altinbas Universitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Multimedia Tools and Applications (Q2) | ||
| Dergi ISSN | 1380-7501 Dergi Bilgileri (2021) | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2021 |
| Kabul Tarihi | 18-08-2020 | Yayınlanma Tarihi | 15-09-2020 |
| Cilt / Sayı / Sayfa | 80 / 2 / 2565–2582 | DOI | 10.1007/s11042-020-09646-3 |
| Makale Linki | https://link.springer.com/article/10.1007/s11042-020-09646-3 | ||
| UAK Araştırma Alanları |
Mühendislik
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| 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 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 12 |
| Scopus | 17 |
| Google Scholar | 23 |