Design of a content-based image retrieval system for medical application
89 p.
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2011
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| Online Access: | http://hdl.handle.net/10356/46960 |
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sg-ntu-dr.10356-469602023-07-04T15:53:10Z Design of a content-based image retrieval system for medical application Yue, Zheng. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 89 p. Retrieving images from a large collection of a variety of general images is a challenging problem. Currently, most image databases are indexed by keywords, and are accessed from text-based database systems. However, text-based image retrieval is unable to meet the growing demand for large-scale image capture and archiving, despite its efficiency. Content-based image retrieval (CBIR)—indexing and retrieving images in a database based on their content—has become an attractive approach to managing large image archives. Master of Science (Computer Control and Automation) 2011-12-27T05:49:49Z 2011-12-27T05:49:49Z 2011 Thesis http://hdl.handle.net/10356/46960 Nanyang Technological University application/pdf |
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Singapore Singapore |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Yue, Zheng. Design of a content-based image retrieval system for medical application |
| description |
89 p. |
| author2 |
Mao Kezhi |
| author_facet |
Mao Kezhi Yue, Zheng. |
| format |
Theses and Dissertations |
| author |
Yue, Zheng. |
| author_sort |
Yue, Zheng. |
| title |
Design of a content-based image retrieval system for medical application |
| title_short |
Design of a content-based image retrieval system for medical application |
| title_full |
Design of a content-based image retrieval system for medical application |
| title_fullStr |
Design of a content-based image retrieval system for medical application |
| title_full_unstemmed |
Design of a content-based image retrieval system for medical application |
| title_sort |
design of a content-based image retrieval system for medical application |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/46960 |
| _version_ |
1772828538724941824 |