Optimizing the scanning window size for the distance measuring from digital images

Authors

  • Vladimir L. Kozlov Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

Keywords:

digital image, stereo image, scanning window, measurement of distances, depth map

Abstract

The solution of the increasing accuracy task of restoring a three-dimensional space picture based on two-dimensional digital images requires the use of new effective techniques and algorithms for processing and analyzing digital images. The technique for automatically setting the scanning window sizes for digital range measurement is developed, which consists in calculating the discrete image gradients of an object using contrast boundary detection filters and then forming the scanning window size based on the analysis of contrast transitions. This increases the measurement reliability and accelerates the processing of the image contrast areas. An analysis of the determining accuracy of the correlation function extremum position in the subpixel range for techniques based on the center-of-mass, parabolic, and Gaussian algorithms is carried out. The technique for accuracy increasing of the extremum position determining is developed. The technique ensures measurement uncertainty in hundredths of a pixel.

Author Biography

  • Vladimir L. Kozlov, Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

    doctor of science (engineering), docent; professor at the department of quantum radiophysics and optoelectronics, faculty of radiophysics and computer technologies

References

  1. Hartley R., Zisserman A. Multiple view geometry in computer vision. Cambridge : Cambridge Univ. Press, 2004.
  2. Tuytelaars T., Mikolajczyk K. Local invariant feature detectors: a survey. Found. and trends in comput. graph. and vision. 2008. Vol. 3, issue 3. P. 177–280. DOI: 10.1561/0600000017.
  3. Simonyan K., Grishin S., Vatolin D. Confidence measure for block-based motion vector field. Computer Graphics and Vision (GraphiConʼ2008) : proc. of XVIII Int. conf. (Moscow, 23–27 June, 2008). Moscow, 2008. P. 110–113.
  4. Kotyuzhansky L. A. Calculation of the stereoimage depth card on the graphic processor in real time. Fundam. res. : in 2 parts. 2012. No. 6, part 2. P. 444–449 (in Russ.).
  5. Brown M. Z., Burschka D., Hager G. D. Advances in computational stereo. IEEE Trans. on Pattern Anal. and Mach. Intell. 2003. Vol. 25, issue 8. P. 993–1008. DOI: 10.1109/TPAMI.2003.1217603.
  6. Kozlov V. L., Vasilchuk A. S. [Optimizing the size of the scanning window using the Sobel filter in the range finder on a digital camera]. Kvantovaya elektronika : mater. X Int. sci.-tech. conf. (Minsk, 9–13 Novemb., 2015). Minsk, 2015. P. 213 (in Russ.).
  7. Gonzalez R., Woods R. Digital image processing. Moscow : Tekhnosfera, 2005 (in Russ.).
  8. Middlebury stereo datasets. URL: http://vision.middlebury.edu/stereo/data (date of access: 14.09.2013).
  9. Sposob izmereniya rasstoyanii na tsifrovoi fotokamere [Method for measuring distances on a digital camera] : pat. 2485443 Russ. Fed., MKI G 01 C 3/00 / V. L. Kozlov ; declarer Belarus. State Univ. No. 2011151194/28 ; declar. 14.12.11 ; publ. 20.06.13. Bul. 2013. No. 17 (in Russ.).
  10. Tropea C., Yarin A. L., Foss J. F. Springer handbook of experimental fluid mechanics. Springer, 2007.
  11. Kozlov V. L., Vasilchuk A. S. [Subpixel image processing for distance measurement based on a digital camera]. Prib. i metody izmer. 2012. No. 1 (4). P. 115–120 (in Russ.).

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Published

2019-02-03

How to Cite

(1)
Kozlov, V. L. Optimizing the Scanning Window Size for the Distance Measuring from Digital Images. Журнал Белорусского государственного университета. Физика 2019, No. 2, 133-140.