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Proceedings Paper

Dyadic wavelet-based affine invariants for planar object recognition
Author(s): Mahmoud I. Khalil; Mohamed M. Bayoumi
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Paper Abstract

Dyadic wavelet transform has been used to derive affine invariant functions. The invariant functions are based on the dyadic wavelet transform of the object boundary. Two invariant functions have been calculated using different numbers of dyadic levels. Experimental results show that these invariant functions outperform some traditional invariant functions. The stability of these invariant functions have been tested for a large perspective transformation.

Paper Details

Date Published: 4 December 2000
PDF: 12 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408608
Show Author Affiliations
Mahmoud I. Khalil, Queen's Univ. (Canada)
Mohamed M. Bayoumi, Queen's Univ. (Canada)

Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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