Evaluating Kube and Pentland's fractal imaging model

G. McGunnigle, M. J. Chantler

Research output: Contribution to journalArticle

Abstract

The aim of this paper is to assess the validity of a model, proposed by Kube and Pentland [1], 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 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.

Original languageEnglish
Pages (from-to)534-542
Number of pages9
JournalIEEE Transactions on Image Processing
Volume10
Issue number4
DOIs
Publication statusPublished - Apr 2001

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Fractals
Imaging techniques
Image texture
Surface roughness

Keywords

  • Image models
  • Rough surfaces
  • Texture analysis

Cite this

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Evaluating Kube and Pentland's fractal imaging model. / McGunnigle, G.; Chantler, M. J.

In: IEEE Transactions on Image Processing, Vol. 10, No. 4, 04.2001, p. 534-542.

Research output: Contribution to journalArticle

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