Open AccessBoundary Extraction and Vessel Width Calculation in Retinal Fundus Images
Author(s) -
R. Manjunatha,
H. S. Sheshadri
Publication year - 2019
Publication title -
asian journal of engineering and applied technology
Language(s) - English
Resource type - Journals
ISSN - 2249-068X
DOI - 10.51983/ajeat-2019.8.2.1136
Subject(s) - retinal , fundus (uterus) , computer science , automation , feature extraction , boundary (topology) , artificial intelligence , image (mathematics) , computer vision , feature (linguistics) , algorithm , pattern recognition (psychology) , mathematics , ophthalmology , engineering , medicine , mechanical engineering , mathematical analysis , linguistics , philosophy
A retinal vessel width measurement algorithm is presented towards ROP (Retinopathy of Prematurity) plus diagnostic automation. The algorithm involving geometrical feature extraction with the image processing is used to compute the effective width of the major vessels in a retinal image. Width measurement is shown to be a statistical parameter estimation related to the statistics of the retinal information. The algorithm is applied to the generic data bases available and the results are found to be satisfactory with ophthalmologist opinion. The effectiveness of the algorithm depends on the fundus image capturing settings.