Bayesian learning of finite generalized Gaussian mixture models on images

DOI10.1016/j.sigpro.2010.08.014zbMath1217.94010OpenAlexW2017236761MaRDI QIDQ551606

Nizar Bouguila, Tarek Elguebaly

Publication date: 21 July 2011

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.08.014

zbMATH Keywords

histogramBayesian analysistexture classificationimage segmentationGibbs samplingmixture modelinggeneralized Gaussian distributionmetropolis-hastingssteerable model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models, A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference, Image segmentation using a trimmed likelihood estimator in the asymmetric mixture model based on generalized gamma and Gaussian distributions, Three-component mixture of Rayleigh model under doubly censored samples: a Bayesian look, Moving objects detection with a moving camera: a comprehensive review, Bayesian inference for infinite asymmetric Gaussian mixture with feature selection

Uses Software

• EMD
• Steerable pyramid

Cites Work

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