Abstract
On the base of the first-order disproportion functions, an algorithm recognizing fragments of standard images under conditions when the analyzed signal contains these fragments in a distorted form due to passing through a nonlinear device, the static characteristic of which can be represented by a polynomial with unknown coefficients, is developed. Both, continuous signals and those, described by discrete pixel brightness values of a video image, are considered with the presence of additive impulse noises.
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Kalashnykova, N., Avramenko, V.V., Kalashnikov, V., Demianenko, V. (2021). On-Line Recognition of Fragments of Standard Images Distorted by Non-linear Devices and with a Presence of an Additive Impulse Interference. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1250. Springer, Cham. https://doi.org/10.1007/978-3-030-55180-3_51
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