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https://hdl.handle.net/10356/4333Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Han, Bin | en_US |
| dc.date.accessioned | 2008-09-17T09:49:26Z | |
| dc.date.available | 2008-09-17T09:49:26Z | |
| dc.date.copyright | 2003 | en_US |
| dc.date.issued | 2003 | |
| dc.identifier.uri | http://hdl.handle.net/10356/4333 | |
| dc.description.abstract | This report describes the concepts and process behind the implementation of Content-based Image Retrieval System based on low-level descriptors. The function of the Content-based Image Retrieval system based on low-level descriptors is to retrieve from an image database those images that best resemble a query image selected by the user. | en_US |
| dc.rights | Nanyang Technological University | en_US |
| dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing | |
| dc.title | Developing a content-based image retrieval system based on low-level discriptors | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.supervisor | Chan, Kap Luk | en_US |
| dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
| dc.description.degree | Master of Science (Signal Processing) | en_US |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | EEE Theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EEE-THESES_378.pdf Restricted Access | 3.89 MB | Adobe PDF | View/Open |
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