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 language | English |
|---|---|
| Pages (from-to) | 534-542 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 10 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2001 |
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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 journal › Article
TY - JOUR
T1 - Evaluating Kube and Pentland's fractal imaging model
AU - McGunnigle, G.
AU - Chantler, M. J.
PY - 2001/4
Y1 - 2001/4
N2 - 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.
AB - 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.
KW - Image models
KW - Rough surfaces
KW - Texture analysis
UR - http://www.scopus.com/inward/record.url?scp=0035307286&partnerID=8YFLogxK
U2 - 10.1109/83.913588
DO - 10.1109/83.913588
M3 - Article
VL - 10
SP - 534
EP - 542
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 4
ER -