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 Archive
22 | 12 | 2024
2017, 07July

DOI: 10.14489/td.2017.07.pp.012-024

 

Makhov V. E., Potapov A. I., Shaldaev S. E.
CONTROL OF THE IMAGE FUNCTION OPTOELECTRONIC SYSTEM CONVERSION METHOD IN IMAGE CONTRAST
(pp. 12-24)

Abstract. Background. Optoelectronic systems are widely used in industrial control systems for the shape and linear dimensions of products. Difficulties are caused by the control of three-dimensional, low-contrast and optically transparent objects. There are known the development of the principle of recording the light field, based on the determination of the intensities and directions of the rays in the optical system, which opens new possibilities in the field of contactless control methods. Due to the insufficient development of technical solutions for recording the light field, no studies have been carried out in this field previously. The actual task is to investigate the possibility of control systems operating on the principle of registering a light field in measuring problems of monitoring geometric parameters of products. Materials and/or methods. To obtain images of controlled products, digital cameras with sensors of different operating principles were used: CCD, CMOS, Faveon, light field. To measure the linear dimensions of the product, the computer technology of the virtual instruments (VI) of National Instruments (NI), the NI LabVIEW application development environment, and the image manipulation module NI IMAQ Vision, were used.  NI Vision Assistant was used to interactively develop the algorithm for processing the original image and measuring the product dimensions. For calibration of the optoelectronic system, length standards were used. Results. The light field recording devices allow obtaining a high contrast of the boundary gradient over the depth of space and realizing the measurement of linear dimensions in three-dimensional objects. The need to take into account the shape of the surface and the plane of localization of the boundaries of the controlled structural elements is shown. As a result of the research, it was found that when recording with digital cameras the light field, the algorithms for measuring linear dimensions give several times greater accuracy along the contrast lines compared to the designing optical devices. Conclusion. The conducted researches have shown that the use of the principle of recording the light field allows for the dimensional control of products of complex shape. The possibility of making measurements with an accuracy of up to one unit of the discretization of the light field is shown. The expansion of the field of application of optoelectronic measuring systems for the control of geometric shapes, control of the surface quality of products with unilateral access to the measured object is shown.

Keywords: optoelectronic system, matrix photo detector, light field, light field camera, plenoptic chamber, calibration of measurements, virtual instrument (VI).

 

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

 

 

1. Mahov V. E., Potapov A. I., Palaev A. G. (2009). Quality inspection of the welds obtained with ultrasonic technology. Izvestija vuzov. Priborostroenie, 52(5), pp. 75-81. [in Russian language]
2. Shapiro L., Stokman Dzh. (2006). Computer vision. Moscow: Binom. Laboratoriia znanii. [in Russian language]
3. Billings M. R. (1999). Color separation in an active pixel cell imaging array using a triple-well structure. Pat. No. 3,971,065 (US 5965875 A). USA. Foveon, Inc.
4. Hubel P. M., Liu J., Guttosch R. J. (2004). Spatial frequency response of color image sensors: Bayer color filters and Foveon X3. Foveon, Inc. Santa Clara, California.
5. Photography-Electronic still picture cameras-Resolution measurements. (2000). International Standard ISO 12233:2000.
6. Makhov E. M., Potapov A. I., Makhov V. E. (2004). Applied optics: textbook. St. Petersburg: SZTU. [in Russian language]
7. Durini еd. by (2014). High performance silicon imaging. Fundamentals and applications CMOS and CCD image sensors. Woodhead Publishing series in electronic and optical materials, (60).
8. Ringaby E. (2014). Geometric models for rolling-shutter and push-broom sensors. Linkping studies in science and technology. Dissertation No. 1615. 2014. Department of Electrical Engineering Linkoping University, SE-581 83 Linkoping, Sweden.
9. Makhov V. E., Repin O. S. (2012). Study of opportunities of video control systems on the basis of decisions of National Instruments Company on the web offset printing machines. Modern engineering: science and education: Proceedings of the 2nd International scientific and practical conference. [Sovremennoe mashinostroenie. Nauka i obrazovanie]. (pp. 500-510). St. Petersburg: Izdatel'stvo Politekhnicheskogo universiteta. [in Russian language]
10. Mahov V. E., Orlov D. V., Repin O. S. et al. (2014). Construction of optical systems video control with digital camera high resolution. Vestnik komp'iuternykh i informatsionnykh tekhnologii, (9), pp. 15-22. doi: 10.14489/vkit.2014.09.pp.015-022 [in Russian language]
11. Shavkutenko E. N., Mil'der O. B. (2015). What is «Mega Beam»? Transmission, processing, perception of text and graphic information. [Peredacha, obrabotka, vospriiatie tekstovoi i graficheskoi informatsii]: proceedings of the International scientific and practical conference. (pp. 47-57). 19-20 March 2015. Ekaterinburg: UrFU. [in Russian language]
12. 3D Vision immersive light field. Available at: https://www.raytrix.de/
13. 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. @ Copyright by Ren Ng 2006.
14. Wetzstein G., Roodnick D., Heidrich W. et al. (2011). Refractive shape from light field distortion International. IEEE Intern. Conf. on Computer Vision (ICCV), 6 – 13 Nov. 2011. Barcelona, pp. 1180-1186.
15. Makhov V. E., Potapov A. I. (2013). Analysis of the efficiency of the optical method of control capillaries. Theoretical basis of the optical control of capillaries. Spravochnik. Inzhenernyi zhurnal, (7), pp. 48-56. [in Russian language]
16. Makhov V. E. (2014). Non-destructive optical testing of diamonds based on computer technologies National Instruments. Zapiski Gornogo instituta, 209, pp. 119-123. [in Russian language]
17. Makhov V. E., Zakharenko E. A. (2014). Studying the optical system for the identification of engineering products. Metallurgicheskie protsessy i oborudovanie, 34(4), pp. 62-68. [in Russian language]
18. Makhov V. E. Trofimov M. A., Sosnovskikh A. M. (2014). Automation of design and control of instrumentation products. Proceedings of the XIV International scientific and practical conference «Engineering and scientific applications based on NI NIDays technology – 2015» [Inzhenernye i nauchnye prilozheniia na baze tekhnologii NI NIDays – 2015], (pp. 385-387). 27 November 2015. Moscow: DMK-press. [in Russian language]
19. Vest Ch. (1982). Holographic interferometry. Moscow: Mir. [in Russian language]
20. Makhov V. E., Potapov A. I. (2011). Use the wavelet analysis for diagnostics of technical sight system. Kontrol'. Diagnostika, (9), pp. 11-18. [in Russian language]
21. Makhov V. E., Shaldaev S. E. (2016). Precision optical measuring systems for the shape of products and tools. Vestnik DonNTU. Special issue «Metallurgicheskie protsessy i oborudovanie», (4), pp. 50-57. [in Russian language]
22. Vizil'ter Iu. V., Zheltov S. Iu., Kniaz' V. A. et al. (2007). Processing and analysis of digital images with examples in LabVIEW IMAQ Vision. Moscow: DMK Press. [in Russian language]
23. Patrakeev N. V., Potapov A. I., Makhov V. E. (2007). LabVIEW 8 – New possibilities of automation design of control and measuring systems. Komponenty i tekhnologii, (2), pp. 138-141. [in Russian language]
24. Makhov V. E., Repin O. S., Potapov A. I. (2014). Research of algorithms automated calibration optoelectronic measuring systems with matrix photo detectors. Kontrol'. Diagnostika, (8), pp. 67-74. doi: 10.14489/td.2014.08. pp.067-074 [in Russian language]
25. Hae-Gon J., Kweon In So. (2014). Geometric calibration of Micro-lens-based light-field cameras using line features. European Conference on Computer Vision (ECCV), (pp. 47-61). Sep. 2014. Springer International Publishing.

 

 

This article  is available in electronic format (PDF).

The cost of a single article is 350 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 fill out the form below:

Purchase digital version of a single article


Type the characters you see in the picture below



 

 

 
Search
Rambler's Top100 Яндекс цитирования