Title :
Blur detection in fundus images
Author :
Chernomorets, Alexandra A. ; Krylov, Andrey S.
Abstract :
The paper addresses the problem of retinal image quality assessment, in particular the problem of blur detection for retinal images is considered. The blur value is obtained using an analysis of blood vessel edge widths as the vasculature is the object that is least prone to structural distortion even if blurred. The paper presents the model of a general edge based on the Gaussian filtering and also the paper presents the algorithm for edge width estimation. The values of the parameters for the algorithm are chosen according to experiments on synthetic data.
Keywords :
Gaussian distribution; biomedical optical imaging; blood vessels; edge detection; eye; feature extraction; medical image processing; Gaussian filtering; algorithm parameter value; blood vessel edge width analysis; blur value; edge width estimation; fundus image blur detection; general edge model; retinal image blur detection; retinal image quality assessment; synthetic data experiment; vasculature structural distortion;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6513030
