Abstract. We describe the image processing module of a system for automated diagnosis of refractive errors (astigmatism, axis of astigmatism, near- and short-sightedness) from Hartmann-Shack (HS) images. Image processing relies on histogram analysis and spatial and geometrical knowledge of the application domain. The objectives were two-fold: a) to generate images of a unique size and ROI positioning; and b) to eliminate noise. The processing guarantees that HS images are handled more efficiently by the feature extraction and classification modules of the diagnosing system.
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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.
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