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

Kalashnikov, Viacheslav y Avramenko, Viktor V. y Demianenko, Volodymyr N. y Kalashnykova, Nataliya (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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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
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:
CreadorEmailORCID
Kalashnikov, ViacheslavNO ESPECIFICADONO ESPECIFICADO
Avramenko, Viktor V.NO ESPECIFICADONO ESPECIFICADO
Demianenko, Volodymyr N.NO ESPECIFICADONO ESPECIFICADO
Kalashnykova, NataliyaNO ESPECIFICADONO ESPECIFICADO
Fecha del depósito: 19 Nov 2020 16:50
Última modificación: 19 Nov 2020 16:50
URI: http://eprints.uanl.mx/id/eprint/20227

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