Paper
27 December 1996 Why is it sensible to use wavelets in matched filtering?
Heiko Schwarzer, Stephan Teiwes, Frank Wyrowski
Author Affiliations +
Proceedings Volume 2969, Second International Conference on Optical Information Processing; (1996) https://doi.org/10.1117/12.262627
Event: Second International Conference on Optical Information Processing, 1996, St. Petersburg, Russian Federation
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heiko Schwarzer, Stephan Teiwes, and Frank Wyrowski "Why is it sensible to use wavelets in matched filtering?", Proc. SPIE 2969, Second International Conference on Optical Information Processing, (27 December 1996); https://doi.org/10.1117/12.262627
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Image filtering

Electronic filtering

Phase only filters

Image analysis

Bandpass filters

Signal to noise ratio

Back to Top