Correlation-based evaluation of visual performance to reduce the statistical error of visual acuity. Academic Article uri icon

Overview

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.

publication date

  • July 1, 2017

Research

keywords

  • Form Perception
  • Pattern Recognition, Visual
  • Statistics as Topic
  • Vision Tests
  • Visual Acuity

Identity

Scopus Document Identifier

  • 85021656555

Digital Object Identifier (DOI)

  • 10.1364/JOSAA.34.001255

PubMed ID

  • 29036136

Additional Document Info

volume

  • 34

issue

  • 7