DocumentCode
440426
Title
A multilevel Gibbs model for texture image analysis
Author
Vasyukov, V.N. ; Dvurechenskaya, N.A.
Author_Institution
NSTU, Novosibirsk, Russia
fYear
2005
fDate
26 June-2 July 2005
Firstpage
810
Lastpage
813
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 2005. KORUS 2005. Proceedings. The 9th Russian-Korean International Symposium on
Print_ISBN
0-7803-8943-3
Type
conf
DOI
10.1109/KORUS.2005.1507909
Filename
1507909
Link To Document