Title :
A multilevel Gibbs model for texture image analysis
Author :
Vasyukov, V.N. ; Dvurechenskaya, N.A.
Author_Institution :
NSTU, Novosibirsk, Russia
fDate :
26 June-2 July 2005
Abstract :
A texture image model based on Gibbs distribution is suggested. The model contains three levels - one observable (pixel) level corresponding to the texture image and two unobservable (hidden) levels. One hidden level represents a map of texture (i.e. a field of texture domain labels) and the other consists of contour elements and conforms to line process. The model is meant for texture image segmentation and analysis. Some results of experiments are presented.
Keywords :
image segmentation; image texture; statistical distributions; Gibbs distribution; contour elements; multilevel Gibbs model; texture image analysis; texture image model; texture image segmentation; Additive noise; Bayesian methods; Image analysis; Image segmentation; Image texture analysis; Iterative algorithms; Lattices; Markov random fields; Nonlinear distortion; Pixel;
Conference_Titel :
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN :
0-7803-8943-3
DOI :
10.1109/KORUS.2005.1507909
