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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Format: | Thesis |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/84875/1/84875.pdf |
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Summary: | 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. |
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