Bayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methods

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 52, Issue 1, 2003, Pages 31-50

  Dryden, Ian L ^a   Scarr, Mark R ^b   Taylor, Charles C ^c  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b INTEL CORPORATION   (United States)

^c UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Classification; Gaussian Markov random field; Image analysis; Ising model; Markov chain Monte Carlo methods; Metropolis Hastings algorithm; Mixture models; Potts model

Indexed keywords

EID: 0141687266     PISSN: 00359254     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9876.00387     Document Type: Article

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