A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors: Solution method: A filtering-based preprocessing algorithm to discern selectively noise from relevant gray level spot structures of images, produced by high granularity detectors in HEP experiments, is proposed. It carries out a fine multiresolution survey of image through a multistep approach based on the Hierarchical Discrete Correlation (HDC) technique. A set of enhanced images generated by the original ones is produced and made available for further pattern recognition phases.
References in zbMATH (referenced in 1 article )
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- Castellano, M.; Nappi, E.; Posa, F.; Tomasicchio, G.: A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors (1991)