Detection and compensation of systematic errors in a null-screen corneal topographer with artificial intelligence

Andrés Peña-Conzuelo; Manuel Campos-García

doi:10.1117/12.2525949

21 June 2019 Detection and compensation of systematic errors in a null-screen corneal topographer with artificial intelligence

Andrés Peña-Conzuelo, Manuel Campos-García

Author Affiliations +

Proceedings Volume 11061, Automated Visual Inspection and Machine Vision III; 110610G (2019) https://doi.org/10.1117/12.2525949
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

We present a new iteration for a null-screen based conical corneal topographer, designed to be used as an accessory for currently generation smartphones, also featuring pattern recognition techniques, aimed to reduce the effects of systematic errors present whenever a null-screen test is performed on an actual patient. At their current state, they mostly provide information about recommended starting points for the fitting algorithm, with further capabilities still under development.

Citation Download Citation

Andrés Peña-Conzuelo and Manuel Campos-García "Detection and compensation of systematic errors in a null-screen corneal topographer with artificial intelligence", Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610G (21 June 2019); https://doi.org/10.1117/12.2525949

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