The structure of a fractal based image indexing system is described. FINE implies image space linearization, a custom clustering strategy, Peano-serialized spatial addressing, ad-hoc heuristics for improving search and specially defined distance functions. The resulting system is invariant, or at least robust, to a large class of typical variations that appear in natural images including rotations, scaling, and changes in color or illumination. The performance of FINE is illustrated, discussed and compared with other present alternatives using standard and custom-based image databases. ©2009 IEEE.
Fine: Fractal indexing based on neighborhood estimation / Michele, Nappi; Daniel, Riccio; DE MARSICO, Maria. - (2009), pp. 245-248. (Intervento presentato al convegno 2009 IEEE International Conference on Image Processing, ICIP 2009 tenutosi a Cairo nel 7 November 2009 through 12 November 2009) [10.1109/icip.2009.5414575].
Fine: Fractal indexing based on neighborhood estimation
DE MARSICO, Maria
2009
Abstract
The structure of a fractal based image indexing system is described. FINE implies image space linearization, a custom clustering strategy, Peano-serialized spatial addressing, ad-hoc heuristics for improving search and specially defined distance functions. The resulting system is invariant, or at least robust, to a large class of typical variations that appear in natural images including rotations, scaling, and changes in color or illumination. The performance of FINE is illustrated, discussed and compared with other present alternatives using standard and custom-based image databases. ©2009 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
