DocumentCode
1692151
Title
Long-correlation image models for textures with circular and elliptical correlation structures
Author
Eom, Kie B.
Author_Institution
Dept. of ECE, George Washington Univ., DC, USA
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
197
Abstract
A class of random field model having long-correlation characteristic is introduced. Unlike earlier approaches in long-correlation models, the correlation structure is isotropic or elliptical in this new class of random field model. A comprehensive three-step algorithm for parameter estimation is developed, and the validity of the model is demonstrated with real textures
Keywords
correlation methods; image texture; parameter estimation; random processes; circular correlation structure; elliptical correlation structure; image texture; long-correlation image models; parameter estimation; random field model; three-step algorithm; Autocorrelation; Autoregressive processes; Brownian motion; Clouds; Delay; Gaussian processes; Parameter estimation; Solid modeling; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958987
Filename
958987
Link To Document