Entropy Thresholding based Retinal Blood Vessel Segmentation

A. S. Deshpande, Nayan A. Karale

Abstract: Accurate segmentation of retinal blood vessel plays very important role for the efficient diagnosis of retinal vascular disorders. In this paper, Entropy based thresholding along with multiple features is proposed. Multiple features like vesselness measure, magnitude response of gabor filter and gamma correction with inverted green channel are extracted. These extracted features are combine using neural network. Later, Entropy based thresholding is used to get the segmented blood vessel.

Keywords: Fundus image, Retinal Vascular Disorder, Segmentation, Entropy