Title :
Switched-capacitor networks for scale-space generation
Author :
Suárez, M. ; Brea, V.M. ; Cabello, D. ; Pozas-Flores, F. ; Carmona-Galán, R. ; Rodríguez-Vázquez, A.
Author_Institution :
Centro de Investig. en Tecnol. de la Informacion (CITIUS), Univ. of Santiago de Compostela, Santiago de Compostela, Spain
Abstract :
In scale-space filtering signals are represented at several scales, each conveying different details of the original signal. Every new scale is the result of a smoothing operator on a former scale. In image processing, scale-space filtering is widely used in feature extractors as the Scale-Invariant Feature Transform (SIFT) algorithm. RC networks are posed as valid scale-space generators in focal-plane processing. Switched-capacitor networks are another alternative, as different topologies and switching rate offer a great flexibility. This work examines the parallel and the bilinear implementations as two different switched-capacitor network topologies for scale-space filtering. The paper assesses the validity of both topologies as scale-space generators in focal-plane processing through object detection with the SIFT algorithm.
Keywords :
feature extraction; image processing; smoothing methods; switched capacitor networks; transforms; SIFT algorithm; feature extractors; focal-plane processing; image processing; scale-invariant feature transform; scale-space filtering signals; scale-space generation; smoothing operator; switched-capacitor networks; Capacitors; Kernel; Network topology; Smoothing methods; Switched capacitor networks; Switches; Topology; Gaussian filtering; SIFT; diffusion; scale-space theory; switched-capacitor networks;
Conference_Titel :
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Conference_Location :
Linkoping
Print_ISBN :
978-1-4577-0617-2
Electronic_ISBN :
978-1-4577-0616-5
DOI :
10.1109/ECCTD.2011.6043314
