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

Viacheslav Kalashnikov | Zendy; Viktor V. Avramenko | Zendy; Volodymyr Demianenko | Zendy; Nataliya Kalashnykova | Zendy

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

Author(s) -

Viacheslav Kalashnikov,

Viktor V. Avramenko,

Volodymyr Demianenko,

Nataliya Kalashnykova

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.12.015

Subject(s) - computer science , impulse (physics) , fragment (logic) , artificial intelligence , impulse response , computer vision , pattern recognition (psychology) , algorithm , mathematics , mathematical analysis , physics , quantum mechanics

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.

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