Paper
26 October 1999 Recognition of partially occluded 2D objects using the wavelet modulus maxima
Mahmoud I. Khalil, Mohamed M. Bayoumi
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahmoud I. Khalil and Mohamed M. Bayoumi "Recognition of partially occluded 2D objects using the wavelet modulus maxima", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366833
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Continuous wavelet transforms

Detection and tracking algorithms

Object recognition

Data modeling

Wavelet transforms

Computer engineering

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