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Image retrieval using fuzzy segmentation and a graph matching technique

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3 Author(s)
A. Hlaoui ; Sci./DMI, Sherbrooke Univ., Que., Canada ; Hao-Jun Sun ; Sheng-Rui Wang

We describe the design and implementation of a system for content-based image retrieval (CBIR). The system uses structural description by labelled graphs. When a graph representation is used, the comparison task is performed by a graph matching technique. Like all CBIR systems, the one proposed here has two components: a segmentation component which uses an efficient fuzzy clustering algorithm and a matching component which employs a new Inexact graph matching algorithm.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:4 )

Date of Conference:

4-5 Nov. 2002