A content-based retrieval system for blood cells images

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Funders: UNSPECIFIED
Additional Information: Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia
Uncontrolled Keywords: Component; Content Based Image Retrieval; Blood Cell Image; Wavelet Form
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Faizal Hamzah
Date Deposited: 14 Oct 2011 02:51
Last Modified: 29 Dec 2014 07:00
URI: http://eprints.um.edu.my/id/eprint/2196

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