A Review on Blood Vessel Segmentation Algorithm

Retinal vessel segmentation algorithms are important in automatic retinal disease screening systems. Images captured from fundus camera are useful in screening various diseases affecting retina by processing the images for better diagnosis and planning of treatment. Ophthalmology is a branch of biomedical field which requires computer aided automated techniques for pathology identification in human eyes. Many automatic segmentation techniques are available but it is difficult to achieve the concept of generalization among these techniques. These automated techniques must be highly accurate and should process a quick convergence rate. Hence there is a significant necessity to analyze these techniques to highlight their suitability for retinal disease identification applications. KeywordsOphthalmology, retinal vessels, segmentation algorithms, disease diagnosis.