Software module for obtaining an image from a matrix photo receiver
Authors: Andosov A.I. | |
Published in issue: #1(30)/2019 | |
DOI: 10.18698/2541-8009-2019-1-426 | |
Category: Informatics, Computer Engineering and Control | Chapter: Automation, Control of Technological Processes, and Industrial Control |
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Keywords: matrix photodetector, infrared spectrum, interpolation, inverse-weighted distance method, optical systems, spot scattering, point spread function, optical system aberrations |
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Published: 23.01.2019 |
The article considers the problem of image reconstruction while measuring the characteristics of optical systems of the infrared range of the spectrum. Solving the problem by using a photodetector matrix as the basis of the measuring channel will dramatically reduce installation costs and increase competitiveness in the market as a result of the rejection of a large number of high-precision mechanics and of the increased control efficiency. It is researched the possibility of using mathematical methods to reconstruct an image obtained from a matrix photodetector with a size of 20–20 pixels in solving the problem of monitoring scatter spots. The analytical study and methodological calculations carried out within the framework of this work have made it possible to choose the appropriate interpolation method. The solution of the problem of image reconstruction after applying the proposed approach has showed a minimum error in comparing with experimental data. A software module was created in MatLab based on the selected method, which allows to calculate the diameters of light rings. The adequacy of the constructed computer model is verified by comparison with the solution obtained using MathCAD.
References
[1] Baliev D.L., Boltar’ K.O., Burlakov I.D. et al. [Multiple-row photodetector for remote Earth sensing in six spectral bands 3-1.25 µm]. XXIV Mezhd. nauch.-tekh. konf. i shkola po fotoelektronike i priboram nochnogo videniya [XXIV Int. sci.-tech. conf. on photoelectronics and night vision systems]. Moscow, NPU Orion Publ., 2016, p. 39 (in Russ.).
[2] Gorbachev A.A., Korotaev V.V., Yaryshev S.N. Tverdotel’nye matrichnye fotopreobrazovateli i kamery na ikh osnove [Solid array photo-converters and cameras on their base]. Sankt-Petersburg, NIU ITMO Publ., 2013 (in Russ.).
[3] Bovina L.A, Boltar’ K.O., Burlakov I.D. et al. Staring CdHgTe 128x128 and 384x288 focal plane arrays. Prikladnaya fizika [Applied Physics], 1999, no. 3, pp. 32–41 (in Russ.).
[4] Kawamura T. Fast phase retrieval from reflection high energy electron diffraction intensities during growth. JSSNT, 2018, vol. 16, pp. 97–100. DOI: 10.1380/ejssnt.2018.97 URL: https://www.jstage.jst.go.jp/article/ejssnt/16/0/16_97/_article/-char/en
[5] Polesskiy A.V., Yudovskaya A.D. Analysis of requirements to a photo receiving path for measuring a spot of confusion by FPA. Uspekhi prikladnoy fiziki [Advances in Applied Physics], 2016, no. 4, pp. 517–522 (in Russ.).
[6] Demidov V.I., Kolesova A.A., Kononov M.E. et al. Research of influence of the photodetectors’ dynamic range on the measurement accuracy of the optical system’s point spread function. Prikladnaya fizika [Applied Physics], 2015, no. 1, pp. 66–71 (in Russ.).
[7] Chto takoe geostatistika? [What is geostatics?] ArcGIS Pro: website. URL: https://pro.arcgis.com/ru/pro-app/help/analysis/geostatistical-analyst/what-is-geostatistics-.htm (accessed: 01.03.2018) (in Russ.).
[8] De Mesnard L. Pollution models and inverse distance weighting: Some critical remarks. Comput. Geosci., 2013, vol. 52, pp. 459–469. DOI: 10.1016/j.cageo.2012.11.002 URL: https://www.sciencedirect.com/science/article/pii/S009830041200372X
[9] Pavlova A.I. Analysis of elevation interpolation methods for creating digital elevation models. Avtometriya, 2017, vol. 53, no. 2, pp. 86–94. (in Russ.) (Eng. version: Optoelectron. Instrument. Proc., 2017, vol. 53, no. 2, pp. 171–177. DOI: 10.3103/S8756699017020108 URL: https://link.springer.com/article/10.3103/S8756699017020108
[10] Kirillovskiy V.K. Opticheskie izmereniya. Ch. 4. Otsenka kachestva opticheskogo izobrazheniya i izmerenie ego kharakteristik [Optical measurements. P. 4. Quality assessment of optical image and measuring its characteristics]. Sankt-Petersburg, NIU ITMO Publ., 2005 (in Russ.).