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Proceedings Paper

A neural network approach for image analysis in optometry
Author(s): Antonio Valerio Netto; Maria Cristina Ferreira de Oliveira
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Paper Abstract

In this work we describe the framework of a functional system for processing and analyzing images of the human eye acquired by the Hartmann-Shack technique (HS), in order to extract information to formulate a diagnosis of eye refractive errors (astigmatism, hypermetropia and myopia). The analysis is to be carried out using an Artificial Intelligence system based on Neural Nets, Fuzzy Logic and Classifier Combination. The major goal is to establish the basis of a new technology to effectively measure ocular refractive errors that is based on methods alternative those adopted in current patented systems. Moreover, analysis of images acquired with the Hartmann-Shack technique may enable the extraction of additional information on the health of an eye under exam from the same image used to detect refraction errors.

Paper Details

Date Published: 27 November 2002
PDF: 10 pages
Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); doi: 10.1117/12.450838
Show Author Affiliations
Antonio Valerio Netto, Univ. de Sao Paulo (Brazil)
Maria Cristina Ferreira de Oliveira, Univ. de Sao Paulo (Brazil)


Published in SPIE Proceedings Vol. 4789:
Algorithms and Systems for Optical Information Processing VI
Bahram Javidi; Demetri Psaltis, Editor(s)

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