Retrieving images in fuzzy object-relational databases using dominant color descriptors

In this paper a fuzzy approach for image retrieval on the basis of color features is presented. The proposal deals with vagueness in the color description and introduces the use of fuzzy database models to store and retrieve imprecise data. To face the color description, the concept of dominant fuzz...

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Bibliographic Details
Published in:Fuzzy sets and systems 2007-02, Vol.158 (3), p.312-324
Main Authors: Chamorro-Martínez, J., Medina, J.M., Barranco, C.D., Galán-Perales, E., Soto-Hidalgo, J.M.
Format: Article
Language:English
Subjects:
Applied sciences
Circuit properties
Computer science
control theory
systems
Control theory. Systems
Digital circuits
Dominant fuzzy colors
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Exact sciences and technology
Fuzzy color descriptor
Fuzzy databases
Image retrieval
Information, signal and communications theory
Mathematical methods
Miscellaneous
System theory
Telecommunications and information theory
Theoretical computing
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Summary:In this paper a fuzzy approach for image retrieval on the basis of color features is presented. The proposal deals with vagueness in the color description and introduces the use of fuzzy database models to store and retrieve imprecise data. To face the color description, the concept of dominant fuzzy color is proposed, using linguistic labels for representing the color information in terms of hue, saturation and intensity. To deal with fuzzy data in our database model, we use a general approach which can support the manipulation of fuzzy objects in an object-relational database system. This allows the retrieval of images by performing flexible queries on the database.
ISSN:0165-0114
1872-6801
DOI:10.1016/j.fss.2006.10.013