A Bayesian approach to level-set based image segmentation with a prior sensitivity analysis

Aykroyd, RG orcid.org/0000-0003-3700-0816 and Alfaer, N (2016) A Bayesian approach to level-set based image segmentation with a prior sensitivity analysis. In: Bozeman, JR, Oliviera, T and Skiadas, CH, (eds.) Stochastic and Data Analysis Methods and Applications in Statistics and Demography. 16th Applied Stochastic Models and Data Analysis International Conference, 30 Jun - 04 Jul 2015, Piraeus, Greece. ASMDA , pp. 341-355.

Abstract

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Authors/Creators:
Keywords: Bayesian methods; Chan-Vese model; image analysis; level set method; maximum likelihood estimation; prior modelling; robustness
Dates:
  • Published: 30 November 2016
  • Accepted: 7 November 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Nov 2016 16:39
Last Modified: 11 May 2017 09:28
Published Version: http://www.asmda.es/asmdabooks/asmda2015book2.html
Status: Published
Publisher: ASMDA

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