Monte Carlo methods for optimizing the piecewise constant Mumford–Shah segmentation model

DOI10.1088/1367-2630/13/2/023004zbMath1448.68451OpenAlexW2099394039MaRDI QIDQ5135806

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Publication date: 24 November 2020

Published in: New Journal of Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1367-2630/13/2/023004

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Cites Work

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• Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Active contours without edges
• Statistical-mechanical approach to image processing
• Statistical mechanics of image restoration
• A Multiresolution Stochastic Level Set Method for Mumford–Shah Image Segmentation
• A Guide to Monte Carlo Simulations in Statistical Physics

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