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Pattern recognition of 1D- and 2D-images for arbitrary scale of spatial coordinates

Authors: Litvintsev, S. M.; Sushko, I. O.; Vistyzenko, Ye. V.; Rybin, A. I.;

Pattern recognition of 1D- and 2D-images for arbitrary scale of spatial coordinates

Abstract

Вступ Класифікація (розпізнавання) образів одновимірних та двовимірних сигналів знаходить все більше поширення в сучасній радіотехніці, меди-цині, акустиці, охоронних системах, криміналістиці тощо [1±7]. Серед за-дач розпізнавання (ідентифікації) образів важливе місце займає розпізна-вання сигналів за формою їх графоелементів з використанням методів но-рмалізації та нормального перетворення [4, 6±10]. При використанні методів нормалізації або нормального перетворення для еталонного сигналу будується матричний оператор дискретного орто-гонального перетворення, такого, що спектр еталонного сигналу містить тільки одну ненульову складову

Keywords

621.372.061, нормализация; нормальное ортогональное преобразование; классификация образов; коэффициент трансформант; преобразование Меллина, нормалізація; нормальне ортогональне перетворення; класифікація образів; коефіцієнт трансформант; перетворення Мелліна, normalization; normal orthogonal transformation; pattern recognition; transform coefficient; Mellin transform

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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