Content-based image retrieval based on colour and spatial features
In this dissertation, content extraction of images using low-level and high-level features are explored. To better describe the feature vectorsin both frequency and space domain, wavelet transform has been studied and applied.
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2008
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sg-ntu-dr.10356-33442023-07-04T15:53:13Z Content-based image retrieval based on colour and spatial features Tan, Gay Kheun. Ang, Yew Hock School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this dissertation, content extraction of images using low-level and high-level features are explored. To better describe the feature vectorsin both frequency and space domain, wavelet transform has been studied and applied. Master of Science (Communication and Network Systems) 2008-09-17T09:27:55Z 2008-09-17T09:27:55Z 2000 2000 Thesis http://hdl.handle.net/10356/3344 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Tan, Gay Kheun. Content-based image retrieval based on colour and spatial features |
description |
In this dissertation, content extraction of images using low-level and high-level features are explored. To better describe the feature vectorsin both frequency and space domain, wavelet transform has been studied and applied. |
author2 |
Ang, Yew Hock |
author_facet |
Ang, Yew Hock Tan, Gay Kheun. |
format |
Theses and Dissertations |
author |
Tan, Gay Kheun. |
author_sort |
Tan, Gay Kheun. |
title |
Content-based image retrieval based on colour and spatial features |
title_short |
Content-based image retrieval based on colour and spatial features |
title_full |
Content-based image retrieval based on colour and spatial features |
title_fullStr |
Content-based image retrieval based on colour and spatial features |
title_full_unstemmed |
Content-based image retrieval based on colour and spatial features |
title_sort |
content-based image retrieval based on colour and spatial features |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3344 |
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1772826479938240512 |