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...
Autores principales: | , , , |
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Formato: | Artículo |
Lenguaje: | inglés |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | http://eprints.uanl.mx/20227/1/1-s2.0-S1877050919320253-main.pdf |
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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 |
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