Benchmarking segmentation results using a Markov model and a Bayes information criterion

F. Murtagh; X. Qiao; D. Crookes; P. Walsh; P.A.M. Basheer; A. Long

doi:10.1117/12.467441

Benchmarking segmentation results using a Markov model and a Bayes information criterion

F. Murtagh, X. Qiao, D. Crookes, P. Walsh, P.A.M. Basheer, A. Long

Department of Computer Science

Research output: Contribution to journal › Article

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Original language	English
Pages (from-to)	248-254
Journal	Proceedings of the SPIE
Volume	4877
DOIs	https://doi.org/10.1117/12.467441
Publication status	Published - 2002

Keywords

wavelet transforms
Potts spatial homogenity parameter
Ising spatial homogenity parameter
Bayes information criterion
Bayes factor

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10.1117/12.467441

Full TextSubmitted manuscript, 207 KB

http://spiedl.aip.org/journals/doc/SPIEDL-home/proc/

Cite this

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title = "Benchmarking segmentation results using a Markov model and a Bayes information criterion",

keywords = "wavelet transforms, Potts spatial homogenity parameter, Ising spatial homogenity parameter, Bayes information criterion, Bayes factor",

author = "F. Murtagh and X. Qiao and D. Crookes and P. Walsh and P.A.M. Basheer and A. Long",

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language = "English",

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AU - Murtagh, F.

AU - Qiao, X.

AU - Crookes, D.

AU - Walsh, P.

AU - Basheer, P.A.M.

AU - Long, A.

PY - 2002

Y1 - 2002

KW - wavelet transforms

KW - Potts spatial homogenity parameter

KW - Ising spatial homogenity parameter

KW - Bayes information criterion

KW - Bayes factor

U2 - 10.1117/12.467441

DO - 10.1117/12.467441

M3 - Article

SN - 0277-786X

VL - 4877

SP - 248

EP - 254

JO - Proceedings of the SPIE

JF - Proceedings of the SPIE

ER -