Fragment-aided recognition of images under poor lighting and additive impulse noises

On the base of the first-order integral disproportion functions, two algorithms recognizing fragments of standard images are proposed. Due to the disproportion functions techniques, the algorithms have special advantages when processing poorly lighted images, as well as with signals transmitted in t...

Descripción completa

Detalles Bibliográficos
Autores principales: Kalashnikov, Vyacheslav V., Avramenko, Viktor V., Demianenko, Volodymyr N., Kalashnykova, Nataliya I.
Formato: Artículo
Lenguaje:inglés
Publicado: Elsevier 2019
Materias:
Acceso en línea:http://eprints.uanl.mx/20227/1/1-s2.0-S1877050919320253-main.pdf
_version_ 1824415782862323712
author Kalashnikov, Vyacheslav V.
Avramenko, Viktor V.
Demianenko, Volodymyr N.
Kalashnykova, Nataliya I.
author_facet Kalashnikov, Vyacheslav V.
Avramenko, Viktor V.
Demianenko, Volodymyr N.
Kalashnykova, Nataliya I.
author_sort Kalashnikov, Vyacheslav V.
collection Repositorio Institucional
description On the base of the first-order integral disproportion functions, two algorithms recognizing fragments of standard images are proposed. Due to the disproportion functions techniques, the algorithms have special advantages when processing poorly lighted images, as well as with signals transmitted in the presence of additive impulse noises.
format Article
id eprints-20227
institution UANL
language English
publishDate 2019
publisher Elsevier
record_format eprints
spelling eprints-202272024-03-04T15:39:28Z http://eprints.uanl.mx/20227/ Fragment-aided recognition of images under poor lighting and additive impulse noises Kalashnikov, Vyacheslav V. Avramenko, Viktor V. Demianenko, Volodymyr N. Kalashnykova, Nataliya I. QA Matemáticas, Ciencias computacionales On the base of the first-order integral disproportion functions, two algorithms recognizing fragments of standard images are proposed. Due to the disproportion functions techniques, the algorithms have special advantages when processing poorly lighted images, as well as with signals transmitted in the presence of additive impulse noises. Elsevier 2019 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/20227/1/1-s2.0-S1877050919320253-main.pdf http://eprints.uanl.mx/20227/1.haspreviewThumbnailVersion/1-s2.0-S1877050919320253-main.pdf Kalashnikov, Vyacheslav V. y Avramenko, Viktor V. y Demianenko, Volodymyr N. y Kalashnykova, Nataliya I. (2019) Fragment-aided recognition of images under poor lighting and additive impulse noises. Procedia Computer Science, 162. pp. 487-495. ISSN 1877-0509 http://doi.org/10.1016/j.procs.2019.12.015 doi:10.1016/j.procs.2019.12.015
spellingShingle QA Matemáticas, Ciencias computacionales
Kalashnikov, Vyacheslav V.
Avramenko, Viktor V.
Demianenko, Volodymyr N.
Kalashnykova, Nataliya I.
Fragment-aided recognition of images under poor lighting and additive impulse noises
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Fragment-aided recognition of images under poor lighting and additive impulse noises
title_full Fragment-aided recognition of images under poor lighting and additive impulse noises
title_fullStr Fragment-aided recognition of images under poor lighting and additive impulse noises
title_full_unstemmed Fragment-aided recognition of images under poor lighting and additive impulse noises
title_short Fragment-aided recognition of images under poor lighting and additive impulse noises
title_sort fragment aided recognition of images under poor lighting and additive impulse noises
topic QA Matemáticas, Ciencias computacionales
url http://eprints.uanl.mx/20227/1/1-s2.0-S1877050919320253-main.pdf
work_keys_str_mv AT kalashnikovvyacheslavv fragmentaidedrecognitionofimagesunderpoorlightingandadditiveimpulsenoises
AT avramenkoviktorv fragmentaidedrecognitionofimagesunderpoorlightingandadditiveimpulsenoises
AT demianenkovolodymyrn fragmentaidedrecognitionofimagesunderpoorlightingandadditiveimpulsenoises
AT kalashnykovanataliyai fragmentaidedrecognitionofimagesunderpoorlightingandadditiveimpulsenoises