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Proceedings Paper

Information extraction by edge detection using complementary filter banks
Author(s): Maria G. Almeida
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Paper Abstract

In this paper, we present the 2D Complementary Filter (CF) Banks, a signal processing technique applied to information extraction by edge detection. Based on the 2D multirate signal processing theory and complementary filters properties, the CF Banks allow to consider different types of sampling and filters. Procedures to design 2D nonseparable quincunx, rectangular and circular complementary filters are developed for an alias free decimation and interpolation. The CF bank is related with wavelet theory. Perfect reconstruction is achieved when the CF bank is implemented with quincunx sampling and filters. Although perfect reconstruction is not reached in other cases, the analysis and synthesis are performed without aliasing, corresponding to a high signal-to-noise ratio and visual quality. New structures were designed to get a better data compression. Implementation of CF Banks analysis/synthesis with images and application in information extraction by edge detection are shown.

Paper Details

Date Published: 28 August 2001
PDF: 8 pages
Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); doi: 10.1117/12.438245
Show Author Affiliations
Maria G. Almeida, Ctr. Federal de Educacao Tecnologica de Minas Gerais (Brazil)


Published in SPIE Proceedings Vol. 4388:
Visual Information Processing X
Stephen K. Park; Zia-ur Rahman; Robert A. Schowengerdt, Editor(s)

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