Saving of Etalons in Image Processing Systems Based on the Parallel Shift Technology

Authors

  • Stepan Bilan State Economy and Technology University of Transport, Kiev
  • Sergey Yuzhakov
  • Sergii Bilan

DOI:

https://doi.org/10.14738/aivp.26.772

Keywords:

parallel shift technology, function of the area of intersection, Fourier transformation.

Abstract

This article describes variants saving of etalons in image processing systems based on the parallel shift technology. The parallel shift technology can be used in hybrid image processing systems.

References

. Castillo O., Mellin P. Hybrid Intelligent Systems, Heidelberg (Germany): Springer, 2006.

. Gonzalez R.C., Woods R. E., Eddins S. L. Digital Image Processing using MATLAB. Pearson Prentice-Hall, 2004.

. Belan S., Yuzhakov S., A Homogenous Parameter Set for Image Recognition Based on Area, Computer and Information Science, 2013. 6(2): p. 93-102.

. Belan S., Yuzhakov S., Machine Vision System Based on the Parallel Shift Technology and Multiple Image Analysis, Computer and Information Science, 2013. 6(4): p. 115-124.

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Published

2015-01-05

How to Cite

Bilan, S., Yuzhakov, S., & Bilan, S. (2015). Saving of Etalons in Image Processing Systems Based on the Parallel Shift Technology. European Journal of Applied Sciences, 2(6), 36–41. https://doi.org/10.14738/aivp.26.772

Issue

Vol. 2 No. 6 (2014): Advances in Image and Video Processing

Section

Articles