A Systematic Review on An Artificial Bee Colony optimized approach for segmentation of blood vessels using Neural Networks
Blood vessel in retinal image plays a vital role in medical diagnosis of many diseases. Diabetic retinopathy is one of the diseases which damages the retina and leads to blindness. Segmentation of blood vessels is helpful for ophthalmologists and this paper presents a new automatic method to extract blood vessels with high accuracy. This algorithm is comprised of optimized Gabor filter with local entropy thresholding for vessels segmentation under various normal or abnormal conditions. The retinal blood vessel network provides nutrition to the eyes and removes waste from the retinal systems. While doing this, it must not interfere with the light transmission to the photoreceptors in the neural layer. Human eyes have evolved a two layer circulation systems to accommodate this need [1, 2]. The two circulation systems are uveal blood circulation and retinal blood circulation. The retina needs both systems to survive .