Open AccessAnalysis of discriminatory characteristics of a video sensor with an exponential correlation function
Author(s) -
V P Gerasimov,
V D Kovalev,
A Yu Darzhaniya,
R. A. Magomedov,
Елена Вячеславовна Соколова,
Олег Кліменко
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/941/1/012051
Subject(s) - exponential function , constant (computer programming) , exponent , function (biology) , computer science , correlation , algorithm , linearity , correlation function (quantum field theory) , computer vision , mathematics , artificial intelligence , statistical physics , mathematical analysis , spectral density , electronic engineering , geometry , physics , telecommunications , engineering , linguistics , philosophy , evolutionary biology , biology , programming language
This article presents an analysis of the characteristics of the video sensors functioning both in the visible and “thermal” regions of the spectrum. The influence of errors caused by the non-linearity of the discriminatory characteristic (DC) in the idealized model is studied. The article is devoted to the refinement of the model, taking into account the constant exponent parameter and introducing its value into the algorithm implemented by the onboard video sensor.