Correlation-based evaluation of visual performance to reduce the statistical error of visual acuity

Csilla Fülep, I. Kovács, Kinga Kránitz, Gábor Erdei

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Ophthalmologists evaluate visual acuity tests by the number of correctly recognized optotypes (usually letters) in the different lines of an eye chart. This probability-based scoring results in significant statistical error that can only be decreased by the time-consuming analysis of a larger number of optotypes. In this paper, we present a new, more precise correlation-based scoring method that takes the degree of misidentification into consideration too, rather than the mere fact of it. According to our experimental results, this new method decreases the uncertainty error by 28% if using the same number of optotypes at a given letter size or requires half the optotype number to produce the same error as that of probability-based scoring.

Original languageEnglish
Pages (from-to)1255-1264
Number of pages10
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume34
Issue number7
DOIs
Publication statusPublished - Jul 1 2017

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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