Retinal Blood Vessel Segmentation using Gaussian Filter

Abstract

Retinal diseases are a visual disorder that can cause human vision problems, such as blindness and low vision. Early detection of this disease is important to prevent visual impairment. In ophthalmology, segmentation of blood vessels is a major component of color retinal fundus images analysis for monitoring and diagnosing retinal diseases, like diabetic retinopathy, hypertensive retinopathy, age-related macular degeneration and arteriosclerotic. This process is effective to identify retinal diseases more accurately. This paper using Gaussian Filter to segmenting blood vessel on retinal images because this method is effective to remove noise and make blood vessels on images more clearly. These methods are applied to color fundus images from DRIVE database. These databases contain color fundus image are used to evaluate this method. The performance is evaluated by accuracy, sensitivity and specificity. The proposed method has the average of accuracy, sensitivity and specificity at 95.72%, 96.90% and 82.10%.