Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ireland Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Blood vessels in ophthalmoscope images play an important role in diagnosis of some serious pathologies on retinal images. Hence, accurate extraction of vessels is becoming a main topic of this research area. Matched filter (MF) implementation for blood vessel detection is one of the methods giving more accurate results. Using this filter alone might not recover all the vessels (especially the capillaries). In this paper, a novel approach (MF/ant algorithm) is proposed to overcome the deficiency of the MF. The proposed method is a hybrid model of matched filter and ant colony algorithm. In this work, the accuracy and parameters of the hybrid algorithm are also discussed. The proposed method shows its success using the well known reference ophthalmoscope images of DRIVE database. (C) 2009 Elsevier Ireland Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Retinal (Ophthalmoscope) image blood vessel segmentation, Matched filter, Ant algorithm, DRIVE database
Kaynak
Computer Methods and Programs in Biomedicine
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
96
Sayı
2
