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Bulletin of the Russian Academy of Sciences: Physics

, Volume 76, Issue 9, pp 1020–1024 | Cite as

Simulation and analysis of images using spectral characteristics

  • B. N. GrudinEmail author
  • V. S. Plotnikov
  • E. V. Pustovalov
  • N. A. Smolyaninov
  • S. V. Polishuk
Proceedings of the XVII Russian Symposium on Scanning Electron Microscopy and Analytical Methods of Investigation Applied for Solid States Physics

Abstract

Methods intended for the analysis and simulation of microstructure images using integral spectral characteristics of orthogonal transformations are proposed. The described methods, algorithms, and software tools allow the primary processing of such images, along with identifying the correlation spectrum characteristics of microstructures and eliminating distortions related to smearing, blurring, and defocusing.

Keywords

Spatial Frequency Discrete Cosine Transform Discrete Fourier Transform Orthogonal Transformation Simulated Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Allerton Press, Inc. 2012

Authors and Affiliations

  • B. N. Grudin
    • 1
    Email author
  • V. S. Plotnikov
    • 1
  • E. V. Pustovalov
    • 1
  • N. A. Smolyaninov
    • 1
  • S. V. Polishuk
    • 1
  1. 1.Far East State UniversityVladivostokRussia

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