Pseudo-likelihood equations for Potts model on higher-order neighborhood systems: a quantitative approach for parameter estimation in image analysis

DOI10.1214/08-BJPS018zbMath1298.94013OpenAlexW1967517023MaRDI QIDQ464759

Alberto Tannús, Alexandre L. M. Levada, Nelson D. A. Mascarenhas

Publication date: 29 October 2014

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1256562754

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• BRENT

Cites Work

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• Improving the realism of the cellular Potts model in simulations of biological cells
• On asymptotic normality of pseudo likelihood estimates for pairwise interaction processes
• Susceptibility amplitudes for the three- and four-state Potts models
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Probabilistic Solution of Ill-Posed Problems in Computational Vision
• JONES POLYNOMIAL AS A POTTS MODEL PARTITION FUNCTION
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• KNOT THEORY, PARTITION FUNCTION AND FRACTALS