• DocumentCode
    3491649
  • Title

    Analysis of optimal estimation algorithms efficiency of anisotropic textures orientation

  • Author

    Gruzman, I.S.

  • fYear
    2012
  • fDate
    2-4 Oct. 2012
  • Firstpage
    19
  • Lastpage
    21
  • Abstract
    Based on the Cramer-Rao inequality analysis of the potential accuracy of the estimate of anisotropic texture orientation observed on the background of additive white noise. The brightness function of the anisotropic texture with one dominant direction was approximated by a deterministic two-dimensional harmonic function. A method for analyzing the efficiency of optimal algorithms for estimating the orientation of anisotropic texture, allowing to determine the ultimate capabilities of methods based on the gradient structure tensor. The method is based on the Gaussian approximation for the components of the gradient structure tensor calculated in the frequency domain.
  • Keywords
    AWGN; approximation theory; brightness; frequency-domain analysis; gradient methods; image texture; tensors; Cramer-Rao inequality analysis; Gaussian approximation; additive white noise background; anisotropic textures orientation estimation; brightness function; deterministic 2D harmonic function; frequency domain; gradient structure tensor; optimal estimation algorithms efficiency; Accuracy; Additive white noise; Algorithm design and analysis; Approximation algorithms; Cramer-Rao bounds; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Actual Problems of Electronics Instrument Engineering (APEIE), 2012 11th International Conference on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    978-1-4673-2842-5
  • Type

    conf

  • DOI
    10.1109/APEIE.2012.6628985
  • Filename
    6628985