A Review of Retinal Vessel Segmentation Techniques and Algorithms

Retinal vessel segmentation algorithms are the critical components of circulatory blood vessel Analysis systems. We present a survey of vessel segmentation techniques and algorithms. We put the various vessel segmentation approaches and techniques in perspective by means of a classification of the existing research. While we have mainly targeted the segmentation of blood vessels, neurovascular structure in particular. We have divided vessel segmentation algorithms and techniques into six main categories: (1) Parallel Multiscale Feature Extraction and Region Growing, (2) a hybrid filtering, (3) Ridge-Based Vessel Segmentation, (4) artificial intelligencebased approaches, (5) neural network-based approaches, and (6) miscellaneous tube-like object detection approaches. Some of these categories are further divided into subcategories.