Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46960
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dc.contributor.authorYue, Zheng.en_US
dc.date.accessioned2011-12-27T05:49:49Z-
dc.date.available2011-12-27T05:49:49Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/10356/46960-
dc.description89 p.en_US
dc.description.abstractRetrieving 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleDesign of a content-based image retrieval system for medical applicationen_US
dc.typeThesisen_US
dc.contributor.supervisorMao Kezhien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US
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