Segmentation of blood vessels from retinal images

Yıl 2017, , 198 - 202, 01.12.2017

Yunus Kökver , Halil Murat Ünver , Ebru Aydoğan

https://doi.org/10.21601/ortadogutipdergisi.352987

Öz

The first step in diagnosing the
disease from retinal images is the segmentation of blood vessels. In this
study, it was aimed to investigate the extraction of blood vessels from retinal
images. For this reason, existing articles in the literature have been compiled
systematically, focusing on the identification of the methods used. Starting
from the first study in the literatüre about this problem, solutions to the
problem of vessel segmentation and studies until recently have been evaluated
within the framework of some criteria. It can be concluded from this review, significant
progress has been made in the methods used for segmentation over the years and segmentation
of all vessels from retinal images has been made easily.

Anahtar Kelimeler

Retina, vessel segmentation, machine learning, filtering, morphological operators

Retina görüntülerinden kan damarlarının segmentasyonu

Öz

Retina görüntülerinden hastalık
teşhisinin yapılabilmesinin ilk adımı kan damarlarının segmente edilmesidir. Bu
çalışmada retina görüntüleri üzerinden kan damarlarının çıkartılması üzerine
yapılan çalışmaları incelemeyi amaçlamaktadır. Bu nedenle literatürdeki mevcut
makaleler kullanılan yöntemleri belirlemeye odaklanarak sistematik olarak
derlenmiştir. Damar segmentasyonu problemine çözüm getiren ve literatürde bu
alandaki ilk çalışmadan başlayarak son zamanlara kadar yapılan çalışmalardaki
çözümler bazı kriterler dahilinde değerlendirilmiştir. Bu derleme çalışmasından
anlaşılıyor ki, yıllar içerisinde segmentasyon için kullanılan yöntemlerde
ciddi bir ilerleme kaydedilmiş ve retina görüntülerinden tüm damarların
segmentasyonu kolaylıkla yapılabilir düzeye gelmiştir.

Anahtar Kelimeler

Retina, damar segmentasyonu, makine öğrenmesi, filtreleme, morfolojik operatörler

Kaynakça

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