Abstract
The problem of mosaicking a series of low aperture fragments in order to obtain a high aperture image of fundus for medical diagnostics is investigated. To eliminate distortions and mismatching at the edges, a neural network model with multiple thresholds is proposed. The neural network takes into account the reliability of the information.
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