A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors

Abstract An algorithm to process data from imaging detectors is proposed. It performs the preprocessing phase for pattern-recognition tasks to remove noise from input images based on a computer vision model. As an example, the program was applied to reconstruct the pattern of Cherenkov light distributed on a single circle produced and detected by a RICH device at CERN.

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