A content-based retrieval system for blood cells images
Content-based image retrieval techniques have extensively been studied for past few years. However; few systems are dedicated to medical images today while demands for content-based analysis and retrieval tools increases with growth of digital medical image databases. A prototype of content-based im...
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| Format: | Conference or Workshop Item |
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2009
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| Online Access: | http://eprints.um.edu.my/2196/ http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=Y2dAiDNK6cfEc5L2f31&page=11&doc=101&cacheurlFromRightClick=no |
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| _version_ | 1831446353942675456 |
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| author | Seng, W.C. Mirisaee, S.H. |
| author_facet | Seng, W.C. Mirisaee, S.H. |
| author_sort | Seng, W.C. |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Research Repository |
| continent | Asia |
| country | Malaysia |
| description | Content-based image retrieval techniques have extensively been studied for past few years. However; few systems are dedicated to medical images today while demands for content-based analysis and retrieval tools increases with growth of digital medical image databases. A prototype of content-based image retrieval system is built to investigate performance of descriptors for blood cell image retrieval. Here, traditional global color histogram and wavelet-based method is investigated. In addition, performance of indexing method for the aforementioned descriptors is analyzed. The prototype system allows users to search by providing a query image and selecting one of four implemented methods. Research goal is enhancing current content-based image retrieval techniques. Proposed method is able to perform clinically relevant queries on image databases without user supervision. |
| format | Conference or Workshop Item |
| id | my.um.eprints-2196 |
| institution | Universiti Malaya |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.um.eprints-21962014-12-29T07:00:29Z http://eprints.um.edu.my/2196/ A content-based retrieval system for blood cells images Seng, W.C. Mirisaee, S.H. QA75 Electronic computers. Computer science Content-based image retrieval techniques have extensively been studied for past few years. However; few systems are dedicated to medical images today while demands for content-based analysis and retrieval tools increases with growth of digital medical image databases. A prototype of content-based image retrieval system is built to investigate performance of descriptors for blood cell image retrieval. Here, traditional global color histogram and wavelet-based method is investigated. In addition, performance of indexing method for the aforementioned descriptors is analyzed. The prototype system allows users to search by providing a query image and selecting one of four implemented methods. Research goal is enhancing current content-based image retrieval techniques. Proposed method is able to perform clinically relevant queries on image databases without user supervision. 2009 Conference or Workshop Item PeerReviewed Seng, W.C. and Mirisaee, S.H. (2009) A content-based retrieval system for blood cells images. In: International Conference on Future Computer and Communications (ICFCC 2009), 2009, Kuala Lumpur. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=Y2dAiDNK6cfEc5L2f31&page=11&doc=101&cacheurlFromRightClick=no |
| spellingShingle | QA75 Electronic computers. Computer science Seng, W.C. Mirisaee, S.H. A content-based retrieval system for blood cells images |
| title | A content-based retrieval system for blood cells images |
| title_full | A content-based retrieval system for blood cells images |
| title_fullStr | A content-based retrieval system for blood cells images |
| title_full_unstemmed | A content-based retrieval system for blood cells images |
| title_short | A content-based retrieval system for blood cells images |
| title_sort | content-based retrieval system for blood cells images |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.um.edu.my/2196/ http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=Y2dAiDNK6cfEc5L2f31&page=11&doc=101&cacheurlFromRightClick=no |
| url_provider | http://eprints.um.edu.my/ |