DocumentCode :
822712
Title :
An object-oriented fuzzy data model for similarity detection in image databases
Author :
Majumdar, Arun K. ; Bhattacharya, Indrajit ; Saha, Amit K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, India
Volume :
14
Issue :
5
fYear :
2002
Firstpage :
1186
Lastpage :
1189
Abstract :
We introduce a fuzzy set theoretic approach for dealing with uncertainty in images in the context of spatial and topological relations existing among the objects in the image. We propose an object-oriented graph theoretic model for representing an image and this model allows us to assess the similarity between images using the concept of (fuzzy) graph matching. Sufficient flexibility has been provided in the similarity algorithm so that different features of an image may be independently focused upon.
Keywords :
data models; fuzzy set theory; graph theory; image representation; image retrieval; object-oriented databases; uncertainty handling; visual databases; fuzzy graph matching; fuzzy set theory; image databases; image representation; object-oriented fuzzy data model; object-oriented graph theoretic model; similarity detection; spatial relations; topological relations; uncertainty handling; Data models; Fuzzy sets; Image databases; Image processing; Image storage; Layout; Object oriented modeling; Spatial databases; Uncertainty; Working environment noise;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2002.1033783
Filename :
1033783
Link To Document :
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