Paper
27 March 1997 Edge detection using joint transform correlation
Author Affiliations +
Abstract
A new joint wavelet transform correlation based technique is proposed for feature extraction such as detection of edges in an unknown input scene. We exploited a modified version of the Roberts and Sobel wavelet filters as the reference images for extracting the edges of an unknown input scene. The performance of the proposed technique using the aforementioned wavelet filters are evaluated and compared using numerical simulations.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad S. Alam and Boon Yi Soon "Edge detection using joint transform correlation", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270381
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KEYWORDS
Wavelets

Optical correlators

Edge detection

Fourier transforms

Feature extraction

Image filtering

Signal to noise ratio

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