Title :
Long-correlation image models for textures with circular and elliptical correlation structures
Author_Institution :
Dept. of ECE, George Washington Univ., DC, USA
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958987
