ABSTRACT

Retinal image processing is a standard medical repetition and offers number of profitable products for physicians. In the field of retinal image processing retinal vessel segmentation is the crucial task for detection of cardiovascular diseases in advance. The recognition of erroneous blood vessel may cause in incorrect clinical diagnosis. Various processing steps are required for the extraction of blood vessel from the retinal image such as preprocessing, noise reduction, gray scale conversion and segmentation. Segmentation is the final and important stage of blood vessel extraction process. Many segmentation techniques are proposed by researchers for blood vessel extraction. Methods and comparison of some segmentation techniques are given in this paper.