A fuzzy clustering approach to content-based image retrieval

Ooi, W. S. and Lim, C. P. 2009, A fuzzy clustering approach to content-based image retrieval, in ICONIP 2009 : Proceedings of the Post ICONIP 2009 Workshop on Advances in Intelligent Computing, [The Conference], [Kuala Lumpur, Malaysia], pp. 11-16.

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Title A fuzzy clustering approach to content-based image retrieval
Author(s) Ooi, W. S.
Lim, C. P.
Conference name Advances in Intelligent Computing. Workshop (2009 : Kuala Lumpur, Malaysia)
Conference location Kuala Lumpur, Malaysia
Conference dates 7 Dec. 2009
Title of proceedings ICONIP 2009 : Proceedings of the Post ICONIP 2009 Workshop on Advances in Intelligent Computing
Editor(s) [Unknown]
Publication date 2009
Conference series Advances in Intelligent Computing Workshop
Start page 11
End page 16
Total pages 6
Publisher [The Conference]
Place of publication [Kuala Lumpur, Malaysia]
Keyword(s) content-based image retrieval
fuzzy c-means clustering
co-occurrence matrix
color-texture image segmentation
compound queries
Summary In this study, an interactive Content-Based Image Retrieval (CBIR) system that allows searching and retrieving images from databases is designed and developed. Based on the fuzzy c-means clustering algorithm, the CBIR system fuses color and texture features in image segmentation. A technique to form compound queries based on the combined features of different images is devised. This technique allows users to have a better control on the search criteria, thus a higher retrieval performance can be achieved. A database consisting of skin cancer imagery is used to demonstrate the applicability of the CBIR system.
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050276

Document type: Conference Paper
Collection: Institute for Frontier Materials
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