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IFS Based Indexing in Image Databases
Correspondence to: M. Nappi and G. Polese, Dipartimento di Informatica ed Applicazioni (R.M. Capocelli) Università di Salerno, 84081 Baronissi (Sa) Italia, tel. +39-89-965391, fax +39-89-965272.
https://doi.org/10.1142/9789812797988_0020Cited by:0 (Source: Crossref)
Abstract:
We present a new Image Indexing method and an implemented system to perform Content Based retrieval in heterogeneous Image Databases. The method is based on the Theory of Iterated Function Systems (IFS), already exploited for image compression, and it uses a training set of images to build the set of indexing features. The index structure is represented through a reduced vector of features on which we use R-Tree to efficiently access images in the database.
