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