Detection and segmentation of retinal blood vessel in digital RGB and CIELUV color space fundus images Ganesan P1,*, Joseph L.M.I. Leo2, Ravichandran M.3, Subramanian K.M.3, Velavan S Anu4 1Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad 2Department of Electronics and Communication Engineering, S.R. Engineering College, Warangal, India 3Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, India 4Department of Computer Science and Engineering, UCE-BIT Campus, Anna University, Tiruchirappalli, India *Corresponding Author E-mail: gganeshnathan@gmail.com
Online published on 24 August, 2018. Abstract The identification of retinal blood vessels is very important but crucial task to analyze the severity of the retinal diseases such as diabetic retinopathy, macular degeneration, central retinal vein occlusion, central retinal artery occlusion, retinal detachment and branch retinal vein occlusion. It is evident that huge number of computer based automated algorithms are developed for the accurate detection of blood vessels and optical disc. Most of the work utilizes the retinal fundus images in RGB color space. The proposed work implements the detection and segmentation of retinal blood vessel in RGB and device independent CIELUV color space. The proposed work for the segmentation retinal blood vessel is based on adaptive histogram equalization, median filtering and morphological operations. Top Keywords Segmentation, Retinal Blood Vessel, Adaptive Histogram Equalization, Median Filtering, Mathematical Morphology. Top |