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Switched-capacitor networks for scale-space generation


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Author: Suárez Cambre, Manuel
Brea Sánchez, Víctor Manuel
Cabello, D.
Pozas Flores, Francisco
Carmona Galán, Ricardo
Rodríguez Vázquez, Ángel Benito
Department: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Date: 2011
Published in: 20th European Conference on Circuit Theory and Design (2011), p 190-193
ISBN/ISSN: 978-1-4577-0617-2
Document type: Presentation
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.
Cite: Suárez Cambre, M., Brea Sánchez, V.M., Cabello, D., Pozas Flores, F., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (2011). Switched-capacitor networks for scale-space generation. En 20th European Conference on Circuit Theory and Design (190-193), Linkoping, Suecia: Institute of Electrical and Electronics Engineers.
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DOI: 10.1109/ECCTD.2011.6043314

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