Evaluating Kube and Pentland's fractal imaging model

被引:7
作者
McGunnigle, G [1 ]
Chantler, MJ [1 ]
机构
[1] Heriot Watt Univ, Dept Elect & Comp Engn, Edinburgh EH14 4AS, Midlothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
image models; rough surfaces; texture analysis;
D O I
10.1109/83.913588
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this paper is to assess the validity of a model, proposed by Kube and Pentland ill, 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.
引用
收藏
页码:534 / 542
页数:9
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