Use of Spatio-Structural Parameters of the Multiscan Video Signal for Improving Accuracy of Control over Object Geometric Parameters
Source abstract
Abstract
In the present paper, we consider the issue of improving the accuracy of measurements and the peculiar features of the measurements of the geometric parameters of objects by optoelectronic systems, based on a television multiscan in the analogue mode in scanistor enabling. It is shown that the convolution of the input signal of the rectangular profile of the light zone with the impulse response of the multiscan explains the smearing of video signal edges. The value of smearing is completely determined by impulse response and does not depend on the zone width. It is established that signals of the action from narrow light zones are smeared out substantially relative to their width, and in this case, the conventional method for determining the zone width by the video signal derivatives stops working. A method is proposed for a full reconstruction of the rectangular profile of a light zone (including a narrow one) in a developed noise-proof optoelectronic measuring device based on a multiscan with the use of spatio-structural parameters, where the width of a light zone corresponds to an extent, illumination of the zone—to brightness, and its coordinate—to centroid. It is shown that the subtraction of the dissipation of the impulse response from the video signal dissipation allows for accounting of the value of the video signal smearing out with high accuracy at the estimation of the width of a light zone, in accordance with the property of the additive accumulation of dissipation. It is established that the use of the spatio-structural video signal model permits the extension of the application of multiscan-based optoelectronic devices for the high-accuracy control and measurement of the geometric parameters of small objects.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Scientific Research Methods · Advanced Control and Stabilization in Aerospace Systems · Advanced Research in Systems and Signal Processing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Automation and Production Systems, Faculty of Mechanical Engineering, University of Žilina, 010 26 Žilina, Slovakia
Federal State Budgetary Institution of Science, Udmurt Federal Research Center of the Ural Branch of the Russian Academy of Sciences, Institute of Mechanics, Tatyany Baramzinoy 34, 426067 Izhevsk, Russia
Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Žilina, 010 26 Žilina, Slovakia
Department of Software, Studencheskaya 7, Institute of Informatics and Computer Engineering, Kalashnikov Izhevsk State Technical University, 426069 Izhevsk, Russia
Funding
University of Žilina
References (35)
Show source-provided references
1. Božek, P., Lozkin, A., and Gorbushin, A. (2016, January 6–10). Geometrical Method for Increasing Precision of Machine Building Parts. Proceedings of the International Conference on Manufacturing Engineering and Materials, ICMEM 2016, Nový Smokovec, Slovakia.10.1016/j.proeng.2016.06.708 ↗
2. Vopat, T., Peterka, J., Kovac, M., and Buransky, I. (2013, January 23–26). The Wear Measurement Process of Ball Nose End Mill in the Copy Milling Operations. Proceedings of the 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2013, Zadar, Croatia.
3. Application of Reverse Engineering for Redesigning and Manufacturing of a Printer Spare Part
4. Application of Statistical Control Charts to Discriminate Transformer Winding Defects10.1016/j.epsr.2020.106890 ↗
5. Alies, M.Y., Shelkovnikov, Y.K., Sága, M., Vaško, M., Kuric, I., Shelkovnikov, E.Y., Korshunov, A.I., and Meteleva, A.A. (2020). Method and Device Based on Multiscan for Measuring the Geometric Parameters of Objects. Processes, 9.10.3390/pr9010024 ↗
6. Experience Learning From Basic Patterns for Efficient Robot Navigation in Indoor Environments10.1007/s10846-017-0739-7 ↗
7. Ground-Based Sense-and-Avoid System for Small Unmanned Aircraft
8. Guk, E., and Podlaskin, B. (2011, January 28–31). Novel Principle of Optical Signal Sensing Based on the Creation of Signal Statistical Estimates. Proceedings of the IEEE Sensors, Limerick, Ireland.10.1109/ICSENS.2011.6126910 ↗
9. Podlaskin, B., Guk, E., and Sukharev, A. (2014, January 15–19). Registration Technique for Detection of Optical Signal Position under Intense Background Illumination. Proceedings of the 2014 3rd Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro.10.1109/MECO.2014.6862703 ↗
10. Podlaskin, B., and Guk, E. (2012, January 19–21). New Optical Sensor with Continuous Field of View for Real-Time Signal Processing. Proceedings of the 2012 Mediterranean Conference on Embedded Computing (MECO), Bar, Montenegro.
11. The Use of a Television Scanistor in Dual Use Devices
12. Shelkovnikov, Y.K., and Lipanov, A.M. (2005). Theoretical Basics and Manufacturing Technology of Television Scanistor Structures, Ural Branch of the Russian Academy of Sciences.
13. Manufacturing Technology of Epitaxial Scanistor Sensors
14. The Scanistor—A Solid-State Image Scanner10.1109/PROC.1964.3440 ↗
15. The Multiscan Position-Sensitive Photodetector10.1007/s11018-005-0220-z ↗
16. On the Detection and Estimation of the Simple Harmonizable Processes
17. Application of Discrete-Continuous Multi-Scan Structure in Optoelectronic Measuring Devices
18. Suppression of the Effect of High-Power Background Illumination on the Precision of Determination of the Optical Signal Coordinates10.1134/S1063784215090170 ↗
19. The Analysis of Multiscan Operation with Amplitude-Modulated Optical Signals
20. Improving the Stability and Linearity of a Coordinate Characteristic of Scanistor Information and Measuring Systems
21. Spatial Filtering of Temporal Noise with the Hadamard Transformation Applied to a Photodetector Array10.1134/S1063784207050234 ↗
22. Multiskan-Based Double Synthetic Aperture for Locating the Illuminance Boundary of a Weak Optical Signal10.1134/1.1486196 ↗
23. Influence of the Photoresistive Effect of Multiscan Resistive Dividers on Accuracy of Measurements of Geometrical Parameters of Objects
24. Analysis of Influence of Kinetics of the TV Multicast Photocurrent on the Error of Measuring the Coordinates and Sizes of Light Zones10.22213/2413-1172-2019-1-89-99 ↗
25. Analog Processor Based on the Multiscan Photoreceiver for the Aperture Correction of the Median of a Dis-Torted Optical Signal
26. Transformer Winding Faults Detection Based on Time Series Analysis10.1109/TIM.2021.3076835 ↗
27. Bailey, D., and Wright, E. (2003). Practical Fiber Optics, Newnes.
28. Estimation of Image Blurring
29. Estimation of the Geometric and Topological Parameters of Image Details Based on the Method of Centroid Filtration
30. Modeling and Analysis of Linear Low-Sized Structural Elements of Graphics Images on the Basis of Usage of Spatially Chromatic Parameters
31. Arkhipov, I.O., Shelkovnikov, Y.K., and Meteleva, A.A. (2020, January 26–29). The Use of the Spatial-Structural Model of a Video Signal from the Television Scanistor in Tasks of Monitoring the Geometric Parameters of Small Objects. Proceedings of the Journal of Physics: Conference Series, Samara, Russia.
32. A New System For Measuring The Deflection Of The Beam With The Support Of Digital Holographic Interferometry
33. Registration of Holographic Images Based on Integral Transformation
34. Karrach, L., Pivarčiová, E., and Božek, P. (2020). Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis. J. Imaging, 6.10.3390/jimaging6070067 ↗
35. Nikitin, Y., Božek, P., and Peterka, J. (2020). Logical–Linguistic Model of Diagnostics of Electric Drives with Sensors Support. Sensors, 20.10.3390/s20164429 ↗