• DocumentCode
    1460184
  • Title

    Evaluating Kube and Pentland´s fractal imaging model

  • Author

    McGunnigle, G. ; Chantler, Mike J.

  • Author_Institution
    Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK
  • Volume
    10
  • Issue
    4
  • fYear
    2001
  • fDate
    4/1/2001 12:00:00 AM
  • Firstpage
    534
  • Lastpage
    542
  • Abstract
    The paper assesses the validity of a model, proposed by Kube and Pentland (1988), that relates a rough surface to its image texture. Simulation was used to assess whether a linear approximation is appropriate, and whether the optimal linear filter agrees with the predictions of Kube and Pentland´s model. The predictions of the model about the image directionality were also assessed on real images. It was found that a linear model is capable of modeling the imaging process for surfaces of moderate roughness and Lambertian reflectance, and that, subject to a small modification, Kube and Pentland´s model accurately predicts the relationship between surface and image spectra
  • Keywords
    approximation theory; filtering theory; fractals; image texture; reflectivity; rough surfaces; spectral analysis; Kube and Pentland´s fractal imaging model; Lambertian reflectance; image directionality; image spectra; image texture; linear approximation; model predictions; optimal linear filter; real images; rough surface; simulation; surface spectra; Fractals; Frequency domain analysis; Image texture; Image texture analysis; Least squares approximation; Predictive models; Rough surfaces; Surface roughness; Surface texture; Testing;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.913588
  • Filename
    913588