Bayesian multiscale analysis of images modeled as Gaussian Markov random fields
2012 (English)In: Computational Statistics & Data Analysis, ISSN 0167-9473, ISSN 0167-9473, Vol. 56, no 1, 49-61 p.Article in journal (Refereed) Published
A Bayesian multiscale technique for detection of statistically significant features in noisy images is proposed. The prior is defined as a stationary intrinsic Gaussian Markov random field on a toroidal graph, which enables efficient computation of the relevant posterior marginals. Hence the method is applicable to large images produced by modern digital cameras. The technique is demonstrated in two examples from medical imaging.
Place, publisher, year, edition, pages
Elsevier, 2012. Vol. 56, no 1, 49-61 p.
IdentifiersURN: urn:nbn:no:ntnu:diva-19830DOI: 10.1016/j.csda.2011.07.009OAI: oai:DiVA.org:ntnu-19830DiVA: diva2:584065