A Comparative Analysis of Probabilistic and Determinate Methods for Attenuating Light Flux

The chapter covers development of mathematical model of signals in output plane of optoelectronic system with registration of optical signals from objects. Analytical forms for mean values and dispersion of signal and interference components of photo receiver response are given. The mathematical model can be used as a base with detection algorithm development for optical signal from objects. An algorithm of signals' detection in output plane of optoelectronic system for the control is offered. The algorithm is synthesized taking into account corpuscular and statistical properties of optical signals. Analytical expressions for mean values and signal and noise components dispersion are cited. These expressions can be used for estimating efficiency of the offered algorithm by the criterion of detection probabilistic characteristics and criterion of signal/noise relation value. The possibility of signal detection characteristics improvement with low signal-to-noise ratio is shown.

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Theoretical Methods of Images Processing in Optoelectronic Systems

Strelkova

Карташов

Lytyuga

et al. 2017

Developing and Applying Optoelectronics in Machine Vision

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Theoretical Methods of Images Processing in Optoelectronic Systems

et al. 2017

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Methods of Reception and Signal Processing in Machine Vision Systems

Strelkova

Strelkov

Карташов

et al. 2021

Examining Optoelectronics in Machine Vision and Applications in Industry 4.0

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The chapter covers development of mathematical model of signals in optoelectronic systems. The mathematical model can be used as a base for detection algorithm development for optical signal from objects. Analytical expressions for mean values and signal and noise components dispersion are cited. These expressions can be used for estimating efficiency of the offered algorithm by the criterion of detection probabilistic characteristics and criterion of signal/noise relation value. The possibility of signal detection characteristics improvement with low signal-to-noise ratio is shown. The method is proposed for detection of moving objects and combines correlation and threshold methods, as well as optimization of the interframe processing of the sequence of analyzed frames. This method allows estimating the statistical characteristics of the signal and noise components and calculating the correlation integral when detecting moving low-contrast objects. The proposed algorithm for detecting moving objects in low illuminance conditions allows preventing the manifestation of the blur effect.

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A Comparative Analysis of Probabilistic and Determinate Methods for Attenuating Light Flux

Cited by 4 publications

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Theoretical Methods of Images Processing in Optoelectronic Systems

Theoretical Methods of Images Processing in Optoelectronic Systems

Theoretical Methods of Images Processing in Optoelectronic Systems

Methods of Reception and Signal Processing in Machine Vision Systems

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