Comparison of the classification methods for the images modeled by Gaussian random fields

Comparison of the classification methods for the images modeled by Gaussian random fields

In image classification often occur such situations, when images in some level are corrupted by additive noise. Such noise in image classification can be modeled by Gaussian random fields (GRF). In image classification supervised and unsupervised methods are used. In this paper we compare our propo...

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Bibliographic Details
Main Authors: Lijana Stabingienė, Giedrius Stabingis, Kęstutis Dučinskas
Format: Article
Language:English
Published: Vilnius University Press 2011-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
image classification
Gaussian random fields
supervised classification
Bayes discriminant function
unsupervised classification
grey level co-occurrence matrix
Online Access:https://www.journals.vu.lt/LMR/article/view/15421

Internet

https://www.journals.vu.lt/LMR/article/view/15421

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