Two-Dimensional Filtering Method Using Systems of Local Model Functions for Muonogram Analysis

A two-dimensional filtering method, based on the construction of systems of approximating sliding local model functions with their subsequent weighted averaging, is proposed. A two-dimensional filtering algorithm based on the summation of approximating sliding piecewise-linear model functions with w...

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Veröffentlicht in:	Pattern recognition and image analysis 2020-07, Vol.30 (3), p.460-469
Hauptverfasser:	Getmanov, V. G., Sidorov, R. V., Dobrovolsky, M. N., Yashin, I. I., Dmitrieva, A. N., Perederin, F. V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied Problems Approximation Computer Science Filtration Image Processing and Computer Vision Optimization Parameters Pattern Recognition Sliding Two dimensional analysis Two dimensional models
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