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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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4589 |
| _version_ | 1826117976944803840 |
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| author | Lei, Wang. |
| author2 | Liu, Jun |
| author_facet | Liu, Jun Lei, Wang. |
| author_sort | Lei, Wang. |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T04:35:51Z |
| format | Thesis |
| id | ntu-10356/4589 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:35:51Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Lei, Wang. Texture modeling and pattern analysis using statistical approach |
| title | 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_short | Texture modeling and pattern analysis using statistical approach |
| title_sort | texture modeling and pattern analysis using statistical approach |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/4589 |
| work_keys_str_mv | AT leiwang texturemodelingandpatternanalysisusingstatisticalapproach |