Image analysis using random fields and Bayesian methods

This thesis deals with the problems of image analysis. The focus is set on low level image analysis.

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Bibliographic Details
Main Author: Chen, Chibiao.
Other Authors: Chan, Kap Luk
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3504
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3504
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spelling sg-ntu-dr.10356-35042023-07-04T15:28:45Z Image analysis using random fields and Bayesian methods Chen, Chibiao. Chan, Kap Luk School of Electrical and Electronic Engineering Liu, Jun DRNTU::Engineering::Electrical and electronic engineering::Electronic systems This thesis deals with the problems of image analysis. The focus is set on low level image analysis. Doctor of Philosophy (EEE) 2008-09-17T09:31:09Z 2008-09-17T09:31:09Z 2004 2004 Thesis http://hdl.handle.net/10356/3504 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Chen, Chibiao.
Image analysis using random fields and Bayesian methods
description This thesis deals with the problems of image analysis. The focus is set on low level image analysis.
author2 Chan, Kap Luk
author_facet Chan, Kap Luk
Chen, Chibiao.
format Theses and Dissertations
author Chen, Chibiao.
author_sort Chen, Chibiao.
title Image analysis using random fields and Bayesian methods
title_short Image analysis using random fields and Bayesian methods
title_full Image analysis using random fields and Bayesian methods
title_fullStr Image analysis using random fields and Bayesian methods
title_full_unstemmed Image analysis using random fields and Bayesian methods
title_sort image analysis using random fields and bayesian methods
publishDate 2008
url http://hdl.handle.net/10356/3504
_version_ 1772825886911889408