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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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

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:

Creador	Email	ORCID
Kalashnikov, Vyacheslav V.	NO ESPECIFICADO	NO ESPECIFICADO
Avramenko, Viktor V.	NO ESPECIFICADO	NO ESPECIFICADO
Demianenko, Volodymyr N.	NO ESPECIFICADO	NO ESPECIFICADO
Kalashnykova, Nataliya I.	NO ESPECIFICADO	NO ESPECIFICADO