IMPACT OF IMAGE PRE-PROCESSING ON QUALITY OF TRAINING NEURAL NETWORK FOR RECOGNITION

IMPACT OF IMAGE PRE-PROCESSING ON QUALITY OF TRAINING NEURAL NETWORK FOR RECOGNITION

The article offers a view on the methods for developing, and the stages of pro-processing images for training sampling in neural networks, as well as their impact on the quality of training.

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Bibliographic Details
Main Authors: Nikita A. Lagunov, Oksana S. Mezentseva
Format: Article
Language:Russian
Published: North Caucasus Federal University 2022-05-01
Series:Вестник Северо-Кавказского федерального университета
Subjects:
нейронные сети
обучающие выборки
распознавание
обработка изображений
обучение
эластичные деформации
аффинные преобразования
фильтрация
neural networks
training sampling
recognition
image pro-cessing
training
elastic deformation
affine transformation
filtration
Online Access:https://vestnikskfu.elpub.ru/jour/article/view/1175
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Description
Summary:The article offers a view on the methods for developing, and the stages of pro-processing images for training sampling in neural networks, as well as their impact on the quality of training.
ISSN:2307-907X

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