DocumentCode
2973347
Title
A fuzzy approach to content-based image retrieval
Author
Medasani, Swamp ; Krishnapuram, Raghu
Author_Institution
Dept. of Math. & Comput. Sci., Colorado Sch. of Mines, Golden, CO, USA
Volume
2
fYear
1999
fDate
36342
Firstpage
964
Abstract
In this paper we present a fuzzy approach to content-based retrieval of segmented images. Our proposed methodology uses fuzzy attributed relational graphs (FARGs) and an efficient fuzzy graph matching algorithm (FGM). The graph matching algorithm is of low computational complexity and hence is suitable for content-based retrieval. Experimental results on random (sub)graph matching and content-based retrieval applications are also provided. The results indicate that the FARG-FGM framework of representing and retrieving images is efficient and accurate
Keywords
computational complexity; content-based retrieval; fuzzy logic; computational complexity; content-based image retrieval; fuzzy approach; fuzzy attributed relational graphs; fuzzy graph matching algorithm; graph matching; segmented images; Content based retrieval; Image databases; Image retrieval; Image segmentation; Information retrieval; Labeling; Prototypes; Shape; Spatial databases; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location
Florence
Print_ISBN
0-7695-0253-9
Type
conf
DOI
10.1109/MMCS.1999.778620
Filename
778620
Link To Document