Development of a method of processing images of laser beam bands with the use of parallel­hierarchic networks

Tymchenko, Leonid; Tverdomed, Volodymyr; Petrovsky, Nikolay; Kokryatskaya, N. M.; Maistrenko, Yurii

doi:10.15587/1729-4061.2019.188568

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…The recall method is also promising for storage in real-time image classification and archiving problems. An important experience of the given method is the simplicity of working with both software and hardware 4,5,6 .…”

Section: Method Approximate Classification Functionmentioning

confidence: 99%

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Tymchenko¹,

Kokriatska²,

Bilichenko

et al. 2022

Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022

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An approach to solving the problem of monitoring the surface shape of a radiation spot in real time is presented. An analysis of the use of the cross-sectional method to monitor the shape of the surface of a radiation spot in real time has been carried out. The possibility of using the aspect ratio to solve the problem was considered. Experimental studies of the sectional method and the aspect ratio method are also presented.

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Section: Method Approximate Classification Functionmentioning

confidence: 99%

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Tymchenko¹,

Kokriatska²,

Bilichenko

et al. 2022

Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022

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“…Determine the differential residual entropy for the case when the measurement error is distributed according to the normal law [ 12 , 48 ] and its standard deviation is equals

…”

Section: Transmission and Evaluation Of The Measuring Information Amountmentioning

confidence: 99%

Information Conversion in Measuring Channels with Optoelectronic Sensors

Kukharchuk

Pavlov

Holodiuk

et al. 2021

Sensors

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The purpose of this work is the authors’ attempt to identify the main phases of information transformation in measurement channels on the example of an optical measurement channel with microprocessor control. The authors include such phases: hardware implementation and analytical representation of an optical sensor`s converting functions and a current-to-voltage converter; based on the methods of experimental computer science, the converting functions and sensitivity are deduced, analytical dependences for estimation of a range of measurement are obtained. It is shown that the choice of information transmission type in the microprocessor measuring channel significantly affects the speed of the measuring channel. Based on the uncertainty in the form of entropy before and after measurements, the amount of information for measuring channels with optoelectronic sensors is estimated. The application of the results obtained in the work allows even at the design stage of physical and mathematical modeling to assess the basic static metrological characteristics of measuring channels, aimed at reducing the stage of development and debugging of hardware and software and standardization of their metrological characteristics.

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“…Thermal imagers are the devices that are designed to monitor objects (including medical and biological) for their thermal radiation. They convert infrared radiation into electrical signals, which after amplification and automatic processing are converted into a visible image [7][8][9] . Thermal imaging diagnostics is a promising method of examination in medicine.…”

Section: Introductionmentioning

confidence: 99%

Biomedical image segmentation method based on contour preparation

Orazayeva

Wójcik

Pavlov

et al. 2022

Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022

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The methods of processing biomedical images, namely thermal images, are investigated. Algorithms for calculating the temperature and area of the zone of interest in the manual mode operator-computer, as well as in the automatic mode, are specified. Methods of thermal image processing are presented, namely recursive generalized contour preparation and preparation based on histograms of connections. An experimental study of these methods was performed, as well as a comparison of thermal image segmentation methods in manual segmentation modes, using contour preparation-based segmentation, multilevel segmentation based on recursive generalized contour preparation, and automatic segmentation based on connectivity histograms.

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Development of a method of processing images of laser beam bands with the use of parallelhierarchic networks

Cited by 8 publications

References 12 publications

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Information Conversion in Measuring Channels with Optoelectronic Sensors

Biomedical image segmentation method based on contour preparation

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Development of a method of processing images of laser beam bands with the use of parallel­hierarchic networks

Cited by 8 publications

References 12 publications

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Section method for real-time monitoring of the surface shape of the laser beam radiation spot

Information Conversion in Measuring Channels with Optoelectronic Sensors

Biomedical image segmentation method based on contour preparation

Contact Info

Product

Resources

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Development of a method of processing images of laser beam bands with the use of parallelhierarchic networks