Accurate vessel segmentation using maximum entropy incorporating line detection and phase-preserving denoising.

•An automatic, accurate and computationally efficient framework for retinal blood vessel segmentation is proposed.•A preprocessing step that includes background estimation and subtraction to eliminate non-uniform illumination and noise is developed.•Local phase preserving denoising works efficiently for thin vessel extraction.•Treating thin and thick vessels separately allows accurate segmentation of retinal vessels.