Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная Current Issue
20 | 04 | 2024
2021, 06 June

DOI: 10.14489/td.2021.06.pp.015-027

Makhov V. E., Potapov A. I., Shirobokov V. V., Emelyanov A. V.
CONSTRUCTION OF OPTICAL CONTROL ALGORITHMS FOR SMALL-SIZE DISTANT LIGHT OBJECTS
(pp. 15-27)

Abstract. A mathematical model of the brightness structure of an ensemble of small-sized distant light objects in the plane of a photodetector is presented. The structure and principles of construction of optoelectronic systems for registration of distant and small-sized light objects are considered. A method for constructing of algorithms for determining the parameters of an ensemble of objects of different distances, obtained by an optoelectronic system with a digital camera of the light field, taking into account its characteristic features, is developed. A special experimental stand for the study of objects in distant conditions based on a telescopic system and a digital registrator is presented. The principal possibility of creating a light field correlator is shown. A number of algorithms and functions are described, as well as their capabilities to accurately measure the coordinates and parameters of small-sized light objects. The advantages and disadvantages of algorithms based on the continuous wavelet transform are investigated. A comparative analysis of the accuracy of determining the coordinates, dimensions, and features of small-sized objects by various algorithms is presented. It is shown, that the accuracy of determining the coordinates and parameters of small-sized remote objects by digital cameras of the light field is several times higher than by traditional digital cameras.

Keywords: 

V. E. Makhov (Mozhaisky Military Space Academy, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
A. I. Potapov (Sant-Petersburg Mining University, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
V. V. Shirobokov, A. V. Emelyanov (Mozhaisky Military Space Academy, St. Petersburg, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

1. Sviridov K. N. (2015). On reaching the maximum resolution of aerospace Earth remote sensing systems (ERS). Raketno-kosmicheskoe priborostroenie i informatsionnye tekhnologii, pp. 489 – 499. Moscow: OAO RKS. [in Russian language]
2. Luhmann T., Robson S., Kyle S., Boehm J. (2014). Close-Range Photogrammetry and 3D Imaging: de Gruyter. Berlin.
3. Terebizh V. Yu. (2007). Modern optical telescopes. Moscow: Fizmatlit. [in Russian language]
4. Gruzman I. S. Kirichuk V. S., Kosyh V. P. et al. (2000). Digital image processing in information systems: a textbook. Novosibirsk: Izdatel'stvo NGTU. [in Russian language]
5. Holst G. C., Lomheim T. S. (2011). CMOS/CCD Sensors and Camera. Systems. 2nd ed. SPIE Press Books.
6. Mahov V. E., Emel'yanov A. V., Potapov A. I., Petrushenko V. M. (2020). Accuracy of measuring systems based on laser modules. Kontrol'. Diagnostika, Vol. 23, (8), pp. 44 – 53. [in Russian language] DOI: 10.14489/td.2020.08.pp.044-053
7. Kučera Jan. (2014). Computational photography of light-field camera and application to panoramic photography. Department of Software and Computer Science Education Supervisor of the master thesis: Ing. Filip Šroubek, Ph.D. Study programme: Computer Science, Software Systems Specialization: Computer Graphics. Prague.
8. Ng R. (2006). Digital light field photography: A dissertation submitted to the department of computer science and the committee on graduate studies of Stanford university in partial fulfillment of the requirements for the degree of doctor of philosophy.
9. Mahov V. E., Shaldaev S. E., Potapov A. I., Smorodinskiy Ya. G. (2020). Influence of image quality in optoelectronic systems on the accuracy of determining the studied parameters of objects. Defektoskopiya, (7), pp. 28 – 43. [in Russian language]
10. Travis J., Kring J. (2006). LabVIEW for Everyone: Graphical Programming Made Easy and Fun. 3rd еd. Prentice Hall.
11. Klinger T. (2003). Image processing with Labview and Imaq Vision. Prentice Hall Professional. (National Instruments Virtual Instrumentation Series).
12. Wavelet Analysis and Its Applications, and Active Media Technology: in 2 volumes. (2004). Proceedings of the International Computer Congress.
13. Liferenko V., Zakutaev A., Mahov V. (2015). Computer implementation of wavelet analysis methods in the NI LabVIEW LABVIEW virtual instrument development environment. Komponenty i tekhnologii, Vol. 170, (9), pp. 132 – 139. [in Russian language]
14. Ol't Yu., Maksarov V. V., Mahov V. E. (2020). Intelligent systems for assessing the quality of machining of threaded surfaces and control of defects based on digital registration of the light field. Defektoskopiya, (11), pp. 46 – 57. [in Russian language]
15. Vol'f M., Born V. (1973). Fundamentals of optics. 2nd ed. Moscow: Nauka. [in Russian language]
16. Mahov V. E, Potapov A. I. (2001). Using wavelet analysis to diagnose a computer vision system. Kontrol'. Diagnostika, (9), pp. 11 – 18. [in Russian language]
17. Chui Ch. K. (2001). Introduction to wavelets. Moscow: Mir. [in Russian language]
18. Konoplev A. O. (2007). Wavelet analysis of 2D images. Lesnoy vestnik, (2), pp. 77 – 82. [in Russian language]
19. Shanin V. I. (1982). Investigation of the Possibility of Optical Matched Filtering for Controlling the Geometry of Parts in Precision Instrumentation. Optiko-mekhanicheskaya promyshlennost', Vol. 7, pp. 15 – 17. [in Russian language]
20. Makhov V., Sytko I. (2020). The measuring accuracy study of the light mark coordinates of laser modules. E3S Web of Conferences, Vol. 164.
21. Feder J. (1988). Fractals. Springer Science + Business Media. Limited liability company.

This article  is available in electronic format (PDF).

The cost of a single article is 450 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please copy the article doi:

10.14489/td.2021.06.pp.015-027

and fill out the  form  

 

 

 
Search
Баннер
Rambler's Top100 Яндекс цитирования