DocumentCode :
3121151
Title :
Image retrieval using fuzzy segmentation and a graph matching technique
Author :
HLAOUI, Adel ; Sun, Hao Jun ; Wang, Sheng Rui
Author_Institution :
Sci./DMI, Sherbrooke Univ., Que., Canada
Volume :
4
fYear :
2002
fDate :
4-5 Nov. 2002
Firstpage :
1987
Abstract :
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.
Keywords :
content-based retrieval; image retrieval; image segmentation; CBIR; content-based image retrieval; fuzzy clustering; fuzzy segmentation; graph matching; labelled graphs; Clustering algorithms; Computer vision; Content based retrieval; Fuzzy systems; Image databases; Image retrieval; Image segmentation; Machine learning algorithms; Merging; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1175385
Filename :
1175385
Link To Document :
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