ISSN 2456-0235

International Journal of Modern Science and Technology

INDEXED IN 

​​​​​International Journal of Modern Science and Technology, Vol. 2, No. 2, 2017, Pages 74-80.

​ 

​Retinal Vessel Extraction based on Firefly Algorithm guided Multi-scale Matched Filter

K. Keerthana¹, T.J. Jayasuriya¹, N. Sri Madhava Raja², V. Rajinikanth²,*
​¹Department of Electrical and Electronics Engineering, St. Joseph’s College of Engineering, Chennai 600 119, Tamilnadu, India.
²Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai 600 119, Tamilnadu, India.
*Corresponding author’s e-mail: rajinikanthv@stjosephs.ac.in

​Abstract
Retinal image inspection is necessary to perceive and supervise a variety of retinal diseases. Extraction of vital retinal region is generally chosen to have a clear idea about the disease and the infected section. In the literature, the idea of matched filter is broadly accepted by the researchers to extract the retina vessel from the RGB retinal fundus images. In the proposed work, Firefly Algorithm (FA) assisted multi-scale matched filter is designed to extract the retinal vessel from a chosen RGB retinal image database.  The major aim of the proposed work is to determine the optimal filter parameters of the multi-scale matched filter in order to achieve better accuracy in retinal vessel segmentation. During this study, the proposed work is tested on the DRIVE retinal image database. The efficiency of the proposed approach is confirmed by computing the image similarity measures, such as Jaccard, Dice, False Positive Rate (FPR) and False Negative Rate (FNR). The image statistical measures, such as sensitivity, specificity and accuracy are also calculated. These values are then compared against other similar procedures available in the literature and found that, the sensitivity and specificity of the proposed approach is better compared to the alternatives considered in this work.

​​Keywords: Fundus retinal image; firefly algorithm; multi-scale matched filter; performance evaluation.

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