Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali
A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. Before CBIR developed, users are difficult to find the desired i...
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2013
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my-uitm-ir.848752024-01-31T03:31:43Z Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali 2013 Ghazali, Mohd Zuhairi Digital photography A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. Before CBIR developed, users are difficult to find the desired image in database because search based on naming only. Hence, this project has been created to develop images retrieval. Image retrieval system is one of the tools that can be used for searching and retrieving images from database of digital images. Generally, images features (colour, texture, shape) are extracted to represent the images. This system can retrieve image in database that are similar to the query image and apply matching technique to obtain the desired images. In pre-processing stage for the proposed CBIR system, features of images data that stored in the image database have been extracted and formed in the features vector and will be stored in feature database. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84875/ https://ir.uitm.edu.my/id/eprint/84875/1/84875.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Wan Abdul Munim, Wan Noraishah |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Wan Abdul Munim, Wan Noraishah |
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Digital photography |
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Digital photography Ghazali, Mohd Zuhairi Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
description |
A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. Before CBIR developed, users are difficult to find the desired image in database because search based on naming only. Hence, this project has been created to develop images retrieval. Image retrieval system is one of the tools that can be used for searching and retrieving images from database of digital images. Generally, images features (colour, texture, shape) are extracted to represent the images. This system can retrieve image in database that are similar to the query image and apply matching technique to obtain the desired images. In pre-processing stage for the proposed CBIR system, features of images data that stored in the image database have been extracted and formed in the features vector and will be stored in feature database. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Ghazali, Mohd Zuhairi |
author_facet |
Ghazali, Mohd Zuhairi |
author_sort |
Ghazali, Mohd Zuhairi |
title |
Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
title_short |
Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
title_full |
Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
title_fullStr |
Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
title_full_unstemmed |
Content based images retrieval (CBIR) by using colour based properties query / Mohd Zuhairi Ghazali |
title_sort |
content based images retrieval (cbir) by using colour based properties query / mohd zuhairi ghazali |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2013 |
url |
https://ir.uitm.edu.my/id/eprint/84875/1/84875.pdf |
_version_ |
1794192064848592896 |