img
img
AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST       
Yazarlar (3)
Doç. Dr. Eftal ŞEHİRLİ Doç. Dr. Eftal ŞEHİRLİ
Karabük Üniversitesi, Türkiye
Doç. Dr. Muhammed Kamil TURAN Doç. Dr. Muhammed Kamil TURAN
Karabük Üniversitesi, Türkiye
Dr. Öğr. Üyesi Emrullah DEMİRAL Dr. Öğr. Üyesi Emrullah DEMİRAL
Karabük Üniversitesi, Türkiye
Devamını Göster
Özet
Retina is one of the important layers of the eyes, which includes sensitive cells to colour and light and nerve fibers. Retina can be displayed by using some medical devices such as fundus camera, ophthalmoscope. Hence, some lesions like microaneurysm, haemorrhage, exudate with many diseases of the eye can be detected by looking at the images taken by devices. In computer vision and biomedical areas, studies to detect lesions of the eyes automatically have been done for a long time. In order to make automated detections, the concept of ROI may be utilized. ROI which stands for region of interest generally serves the purpose of focusing on particular targets. The main concentration of this paper is the algorithm to automatically detect retinal region of interest belonging to different retinal images on a software application. The algorithm consists of three stages such as pre-processing stage, detecting ROI on processed images and overlapping between input image and obtained ROI of the image.
Anahtar Kelimeler
Edge detection | Gamma correction | Median filter | Otsu thresholding | Retina | ROI
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayımlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Web of Science Kapsamındaki Kongre/Sempozyum
Bildiri Dili İngilizce
Kongre Adı 4th International Workshop on Geoinformation Science
Kongre Tarihi 14-10-2017 / 15-10-2017
Basıldığı Ülke Türkiye
Basıldığı Şehir Safranbolu
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 1
SCOPUS 1
Google Scholar 1
AN ALGORITHM TO DETECT THE RETINAL REGION OF INTEREST

Paylaş