Open AccessQUALITY ASSESSMENT OF OPTIC NERVE DISK IMAGES
Author(s) -
Viktorija Puzienė,
Darius Jegelevičius
Publication year - 2010
Publication title -
mokslas - lietuvos ateitis
Language(s) - English
Resource type - Journals
eISSN - 2029-2341
pISSN - 2029-2252
DOI - 10.3846/mla.2010.001
Subject(s) - histogram , optic nerve , enhanced data rates for gsm evolution , image quality , quality (philosophy) , computer vision , spectral density , artificial intelligence , computer science , optics , mathematics , image (mathematics) , physics , ophthalmology , medicine , telecommunications , quantum mechanics
Analysis of optic nerve disk is done for different categories of images. Optic nerve disk images of the same eye and of different eyes of good and bad quality are investigated using spectral, histogram, edge parameters. Results show that mean power spectrum is the best parameter for separating images into quality classes in the same eye image case and mean power spectrum of high frequency is the best parameter for separating images into quality classes in the different eye image case.
Article in Lithuanian