DocumentCode :
1051806
Title :
Texture roughness analysis and synthesis via extended self-similar (ESS) model
Author :
Kaplan, Lance M. ; Kuo, C. C Jay
Author_Institution :
Radar & Commun. Syst. Segment, Hughes Aircraft Co., Los Angeles, CA, USA
Volume :
17
Issue :
11
fYear :
1995
fDate :
11/1/1995 12:00:00 AM
Firstpage :
1043
Lastpage :
1056
Abstract :
The 2D fractional Brownian motion (FBM) model provides a useful tool to model textured surfaces whose roughness is scale-invariant. To represent textures whose roughness is scale-dependent, we generalize the FBM model to the extended self-similar (ESS) model in this research. We present an estimation algorithm to extract the model parameters from real texture data. Furthermore, a new incremental Fourier synthesis algorithm is proposed to generate the 2D realizations of the ESS model. Finally, the estimation and rendering methods are combined to synthesize real textured surfaces
Keywords :
Brownian motion; Fourier analysis; fractals; image texture; parameter estimation; random processes; rendering (computer graphics); 2D fractional Brownian motion model; estimation algorithm; extended self-similar model; fractals; incremental Fourier synthesis; parameter extraction; random field; rendering method; texture roughness analysis; Application software; Brownian motion; Communication system control; Data mining; Electronic switching systems; Fractals; Geometry; Rough surfaces; Surface roughness; Surface texture;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.473230
Filename :
473230
Link To Document :
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