The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 52-235
Full Name: Grace Selvarani
Position: Assistant
Professor
Age: ON
Sex: Female
Address: Sri Ramakrishna Engineering College, Vattamallaipalyam, Coimbatore
Country: INDIA
Tel: 2460088
Tel prefix: 0422
Fax:
E-mail address: dg_jane@yahoo.co.in
Other E-mails:
Title of the Paper: Content based medical image retrieval system using multiple classifier framework
Authors as they appear in the Paper:
Email addresses of all the authors:
Number of paper pages: 11
Abstract: Content Based Image Retrieval (CBIR) is the set of techniques for searching of similar images from an image database using automatically extracted image features such as color, shape and texture. Feature extraction is the fundamental step in the CBIR systems. In the proposed multiple classifier method best discriminating features are combined in order to improve the retrieval performance. In the proposed system three shape features and three texture features are combined. The best matched features are found using the Bipartite weighted graph and combined using the decision combination operators. The retrieval experiments were conducted on the large medical image database and the results show that the proposed multiple classifier system yields good retrieval performance than the retrieval systems based on the individual features.
Keywords: Cbir, Shape features, Texture features, Medical images, Bipartite graph, Retrieval
EXTENSION of the file: .doc
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