Texture modeling and pattern analysis using statistical approach

Texture modeling and pattern analysis using statistical approach

Texture analysis plays an important role in computer vision and pattern recog-nition. The development of a new texture model, multiresolution Markov random field (MRMRF) model, and its application in texture classification, segmentation, and textured image retrieval are the central theme of this the...

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Main Author: Lei, Wang.
Other Authors: Liu, Jun
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/4589
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-4589
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spelling sg-ntu-dr.10356-45892023-07-04T15:43:40Z Texture modeling and pattern analysis using statistical approach Lei, Wang. Liu, Jun School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Texture analysis plays an important role in computer vision and pattern recog-nition. The development of a new texture model, multiresolution Markov random field (MRMRF) model, and its application in texture classification, segmentation, and textured image retrieval are the central theme of this thesis. Filtering theory and Markov random field (MRF) model are fused together seamlessly by using a new energy function. The new energy function for the texture model is constructed based on Gibbs random field. Doctor of Philosophy (EEE) 2008-09-17T09:54:53Z 2008-09-17T09:54:53Z 2000 2000 Thesis http://hdl.handle.net/10356/4589 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::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Lei, Wang.
Texture modeling and pattern analysis using statistical approach
description Texture analysis plays an important role in computer vision and pattern recog-nition. The development of a new texture model, multiresolution Markov random field (MRMRF) model, and its application in texture classification, segmentation, and textured image retrieval are the central theme of this thesis. Filtering theory and Markov random field (MRF) model are fused together seamlessly by using a new energy function. The new energy function for the texture model is constructed based on Gibbs random field.
author2 Liu, Jun
author_facet Liu, Jun
Lei, Wang.
format Theses and Dissertations
author Lei, Wang.
author_sort Lei, Wang.
title Texture modeling and pattern analysis using statistical approach
title_short Texture modeling and pattern analysis using statistical approach
title_full Texture modeling and pattern analysis using statistical approach
title_fullStr Texture modeling and pattern analysis using statistical approach
title_full_unstemmed Texture modeling and pattern analysis using statistical approach
title_sort texture modeling and pattern analysis using statistical approach
publishDate 2008
url http://hdl.handle.net/10356/4589
_version_ 1772826522247233536

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