A neural network approach for image analysis in optometry

Antonio Valerio Netto; Maria Cristina Ferreira de Oliveira

doi:10.1117/12.450838

27 November 2002 Image processing and analysis using neural networks for optometry area

Antonio Valerio Netto, Maria Cristina Ferreira de Oliveira

Proceedings Volume 4789, Algorithms and Systems for Optical Information Processing VI; (2002) https://doi.org/10.1117/12.450838
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

Antonio Valerio Netto and Maria Cristina Ferreira de Oliveira "Image processing and analysis using neural networks for optometry area", Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); https://doi.org/10.1117/12.450838

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