Fragment-aided recognition of images under poor lighting and additive impulse noises
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
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Texto
1-s2.0-S1877050919320253-main.pdf - Versión Publicada Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Vista previa |
URL o página oficial: http://doi.org/10.1016/j.procs.2019.12.015
Resumen
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.
Tipo de elemento: | Article | |||||||||||||||
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Palabras claves no controlados: | image recognition, standard fragments, disproportion functions, poor lighting, additive impulse noise | |||||||||||||||
Materias: | Q Ciencia > QA Matemáticas, Ciencias computacionales | |||||||||||||||
Divisiones: | Ciencias Físico Matemáticas | |||||||||||||||
Usuario depositante: | Editor Repositorio | |||||||||||||||
Creadores: |
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Fecha del depósito: | 19 Nov 2020 16:50 | |||||||||||||||
Última modificación: | 04 Mar 2024 15:39 | |||||||||||||||
URI: | http://eprints.uanl.mx/id/eprint/20227 |
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