Using neural nets to measure ocular refractive errors: a proposal

Antonio Valerio Netto; Maria Cristina Ferreira de Oliveira

doi:10.1117/12.451000

6 December 2002 Using neural nets to measure ocular refractive errors: a proposal

Antonio Valerio Netto, Maria Cristina Ferreira de Oliveira

Proceedings Volume 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V; (2002) https://doi.org/10.1117/12.451000
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

We propose the development of a functional system for diagnosing and measuring ocular refractive errors in the human eye (astigmatism, hypermetropia and myopia) by automatically analyzing images of the human ocular globe acquired with the Hartmann-Schack (HS) technique. HS images are to be input into a system capable of recognizing the presence of a refractive error and outputting a measure of such an error. The system should pre-process and image supplied by the acquisition technique and then use artificial neural networks combined with fuzzy logic to extract the necessary information and output an automated diagnosis of the refractive errors that may be present in the ocular globe under exam.

Citation Download Citation

Antonio Valerio Netto and Maria Cristina Ferreira de Oliveira "Using neural nets to measure ocular refractive errors: a proposal", Proc. SPIE 4787, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V, (6 December 2002); https://doi.org/10.1117/12.451000

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