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Method for Calculating Recognition Probability of Objects Images by a Human

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Abstract

The article presents the results of research on development of a method for calculating human operator recognition probability of objects noisy images generated by optoelectronic surveillance devices. The proposed method is based on a visual system mathematical model which takes into account features of pre-processing images performed in human eyes as well as at stages of primary and secondary processing performed in the visual cortex of the brain. Experimental studies on image recognition of halftone objects confirmed the adequacy of the visual system mathematical model and the calculation method based on this model are described.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, 105005, Moscow, Russia

    Y. S. Gulina & V. Ya. Kolyuchkin

Authors
  1. Y. S. Gulina
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  2. V. Ya. Kolyuchkin
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Correspondence to Y. S. Gulina or V. Ya. Kolyuchkin.

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Gulina, Y.S., Kolyuchkin, V.Y. Method for Calculating Recognition Probability of Objects Images by a Human. Opt. Mem. Neural Networks 30, 172–179 (2021). https://doi.org/10.3103/S1060992X21020090

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  • DOI: https://doi.org/10.3103/S1060992X21020090

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