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Proceedings Paper

Edge detection using joint transform correlation
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Paper 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.

Paper Details

Date Published: 27 March 1997
PDF: 11 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270381
Show Author Affiliations
Mohammad S. Alam, Purdue Univ./Fort Wayne (United States)
Boon Yi Soon, Univ. of Dayton (United States)


Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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