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Proceedings Paper

Why is it sensible to use wavelets in matched filtering?
Author(s): Heiko Schwarzer; Stephan Teiwes; Frank Wyrowski
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Paper Abstract

The application of wavelets in optical pattern recognition has been first proposed by Sheng et al. The concept of a wavelet matched filter has been motivated by its improved discrimination properties compared to the classical matched filter and its improved signal-to-noise ratio compared to the phase-only filter. However, similar features can also be achieved using the approach of fractional power filters. Thus, the question for striking advantages resulting from the composition of wavelet filters and matched filters is still open. In this paper we give a positive answer to this question by discussing the problem of detecting defects on textured surface materials. This problem is of high practical relevance in industrial manufacturing.

Paper Details

Date Published: 27 December 1996
PDF: 6 pages
Proc. SPIE 2969, Second International Conference on Optical Information Processing, (27 December 1996); doi: 10.1117/12.262627
Show Author Affiliations
Heiko Schwarzer, Berlin Institute of Optics (Germany)
Stephan Teiwes, Berlin Institute of Optics (Germany)
Frank Wyrowski, Berlin Institute of Optics (Germany)


Published in SPIE Proceedings Vol. 2969:
Second International Conference on Optical Information Processing
Zhores I. Alferov; Yuri V. Gulyaev; Dennis R. Pape, Editor(s)

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