Blood vessel segmentation in color fundus images based on regional and Hessian features

• Main Authors: Shah, S.A.A., Tang, T.B., Faye, I., Laude, A.
• Format: Article
• Published: Springer Verlag 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018747145&doi=10.1007%2fs00417-017-3677-y&partnerID=40&md5=3eb38d771822d5839d43f81c42897735; http://eprints.utp.edu.my/19419/

Purpose: To propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis. Methods: Firstly, color fundus images from the publicly available database DRIVE were converted from RGB to grayscale. To enhance the contrast...