Open AccessOptic nerve disc mathematical parameterization and the statistical comparison with measurements
Author(s) -
Vytautas Tiešis,
Povilas Treigys
Publication year - 2010
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2010.59
Subject(s) - hough transform , optic nerve , automation , fundus (uterus) , contrast (vision) , enhanced data rates for gsm evolution , transformation (genetics) , optic disc , artificial intelligence , canny edge detector , computer vision , mathematics , edge detection , digital image , computer science , image processing , image (mathematics) , ophthalmology , glaucoma , engineering , medicine , mechanical engineering , biochemistry , chemistry , gene
The paper deals with the automatic measurement of the optic nerve disc diagnostic parameters from eye fundus digital images. The automation gives objective measurements, in contrast to measurements by physicians that have large variance. The disc shape has been detected by the use of mathematical morphological operations, of Canny’s edge detection, of geometric Hough’s transformation and of the approximation by the least square method. The statistical tests confirm that there is no significant difference between measurements performed by physicians and automatic measurements.