An Approach to Image Retrieval on Fuzzy Object-Relational Databases using Dominant Color Descriptors
Jesús Chamorro-Martínez, Juan Miguel Medina, Carlos D. Barranco, E. Galán-Perales, Jose Manuel Soto-Hidalgo · European Society for Fuzzy Logic and Technology Conference · 2005
In this paper we introduce a fuzzy approach for image retrieval based on color features. Our method deals with two problems related to imprecision: the vagueness in the color description and the representation of fuzzy data in database models. To face the flrst problem, the concept of dominant fuzzy color is introduced to describe the image, using linguistic labels for representing the color information in terms of hue, saturation and intensity as humans do. 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 ∞exible queries on the database.