LOCAL DIFFERENCE THRESHOLD LEARNING IN FILTERING NORMAL WHITE NOISE

LOCAL DIFFERENCE THRESHOLD LEARNING IN FILTERING NORMAL WHITE NOISE

The article was aimed at studying the process of learning by the local difference threshold when filtering normal white noise. The existing learning algorithms for image processing were analyzed and their advantages and disadvantages were identified. The influence of normal white noise on the recog...

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Bibliographic Details
Main Authors: Leonid Timchenko, Natalia Kokriatskaia, Volodymyr Tverdomed, Natalia Kalashnik, Iryna Shvarts, Vladyslav Plisenko, Dmytro Zhuk, Saule Kumargazhanova
Format: Article
Language:English
Published: Lublin University of Technology 2023-06-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
training
local difference threshold
filtering normal white noise
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/3664

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