A Comparative Analysis of Retinal Blood Vessels Approaches

Abstract

Image processing is intended for which the input is an image, like photograph or some other videos the output of may be whichever an image or, a set of characteristics or limitations consistent to the image. Retinal images has numerous qualitative procedures can be used in more applications, such as ocular fundus operations with human recognition. Likewise, it plays important roles in detection of a few diseases in premature stages, such as diabetes, which can be performed by evaluation of the states of retinal blood vessels. Inherent characteristics of retinal images make the blood vessel detection process tricky. This survey presents an analysis of several algorithms proposed by various authors to detect the retinal blood vessels effectively. The existing algorithms are analyzed thoroughly to identify their advantages and limitations. The performance evaluation of the existing algorithms is carried out to determine the best approach. Then, in order to improve the performance of the best approach, a novel approach is been proposed in this paper.