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Proceedings Article

Image processing based on Gibbs models

01 Jan 2003-Vol. 2, pp 340-344
About: This article is published in Korea-Russia International Symposium on Science and Technology.The article was published on 2003-01-01 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Image texture & Image processing.
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Proceedings ArticleDOI
26 Sep 2005
TL;DR: A texture image model based on Gibbs distribution is suggested, meant for texture image segmentation and analysis and some results of experiments are presented.
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.

1 citations

Proceedings ArticleDOI
26 Jun 2004
TL;DR: In the paper an approach to image processing and image analysis based on hierarchical beamlet structure associated with Gibbs distribution is offered.
Abstract: Hierarchical models of images have been used in image processing rather widely because of evidently hierarchical nature of human vision Gibbs distribution due to its universality looks like the most convenient formalism for making use of those models In the paper an approach to image processing and image analysis based on hierarchical beamlet structure associated with Gibbs distribution is offered