earticle

영어

Automated segmentation and delineation of morphological properties of retinal vascular network had now become the most important research area in the treatment of ophthalmologic disorders. With the advancement of computational efficiency, image processing methodologies are widely used in ophthalmology. This paper gives the review of various segmentation techniques implemented by various authors in conjunction with performance metrics like sensitivity, specificity, accuracy and area under the curve. Results of various algorithms has been compared and analyzed. For the extraction of retinal vasculature, 2D retinal image from various databases has been considered.