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