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
Link To Document :
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