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Proceedings Paper

Recognition of partially occluded 2D objects using the wavelet modulus maxima
Author(s): Mahmoud I. Khalil; Mohamed M. Bayoumi
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Paper Abstract

In this paper, an efficient technique is presented for recognizing 2D occluded objects under orientation, location, and size transformations. The developed technique is based on analyzing the boundary of the object using the maxima lines of the continuous wavelet transform. The experimental results showed that this refined technique successfully classified the occluded objects.

Paper Details

Date Published: 26 October 1999
PDF: 11 pages
Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); doi: 10.1117/12.366833
Show Author Affiliations
Mahmoud I. Khalil, Queen's Univ. (Canada)
Mohamed M. Bayoumi, Queen's Univ. (Canada)


Published in SPIE Proceedings Vol. 3813:
Wavelet Applications in Signal and Image Processing VII
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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