Gabor wavelet transform applied to feature extraction of ophthalmic images

Antonio Valerio Netto, Cesar B. Castanon, Osvaldo C. P. de Almeida, João E. S. B. Neto, Maria Cristina F. de Oliveira

 

Abstract. This work describes the feature extraction module of a system designed to measure and interpret optical refractive errors (astigmatism, axis of astigmatism, near- and short-sightedness) from Hartmann-Shack (HS) images. This module uses the Gabor wavelets transform to produce a reduced set of features from an image of the human eye that are then input to an image analysis module based on Support Vector Machines.

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Parternship. This project is developed with the laboratories of high performance (LCAD) and computer intelligence (LABIC) of the Institute of Computer and Mathematical Sciences of the University of São Paulo (ICMC/USP)

                                                    

Sponsor.

                          

Acknowledgements.