Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 96, Issue 2, Pages 85-95Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2009.04.005
Keywords
Retinal (Ophthalmoscope) image blood vessel segmentation; Matched filter; Ant algorithm; DRIVE database
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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.
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