Unsupervised image segmentation with Gaussian pairwise Markov fields

DOI10.1016/j.csda.2021.107178OpenAlexW3120897879MaRDI QIDQ830069

Christophe Collet, Jean-Baptiste Courbot, Hugo Gangloff, Emmanuel Monfrini

Publication date: 7 May 2021

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2021.107178

zbMATH Keywords

parameter estimationGaussian Markov fieldspairwise Markov fieldsunsupervised image segmentation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data

Uses Software

• GMRFLib
• MAXFLOW
• k-means++
• BM3D

Cites Work

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• High resolution simulation of nonstationary Gaussian random fields
• Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
• Markov Random Field Modeling in Image Analysis
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Probabilistic Solution of Ill-Posed Problems in Computational Vision
• Gaussian Markov Random Fields
• Markov Random Fields in Image Segmentation
• The elements of statistical learning. Data mining, inference, and prediction

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