Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm

ERDEM M. G., Aydin D.

Computer Methods and Programs in Biomedicine, cilt.96, sa.2, ss.85-95, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 96 Sayı: 2
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.cmpb.2009.04.005
  • Dergi Adı: Computer Methods and Programs in Biomedicine
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.85-95
  • Anahtar Kelimeler: Ant algorithm, DRIVE database, Matched filter, Retinal (Ophthalmoscope) image blood vessel segmentation
  • Manisa Celal Bayar Üniversitesi Adresli: Hayır

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. © 2009 Elsevier Ireland Ltd. All rights reserved.