NDLI: A signal processing approach to symmetry detection

Content Provider	IEEE Xplore Digital Library
Author	Keller, Y. Shkolnisky, Y.
Copyright Year	1992
Abstract	We present an algorithm that detects rotational and reflectional symmetries of two-dimensional objects. Both symmetry types are effectively detected and analyzed using the angular correlation (AC), which measures the correlation between images in the angular direction. The AC is accurately computed using the pseudopolar Fourier transform, which rapidly computes the Fourier transform of an image on a near-polar grid. We prove that the AC of symmetric images is a periodic signal whose frequency is related to the order of the symmetry. This frequency is recovered via spectrum estimation, which is a proven technique in signal processing with a variety of efficient solutions. We also provide a novel approach for finding the center of symmetry and demonstrate the applicability of our scheme to the analysis of real images
Sponsorship	IEEE Signal Processing Society
Page Count	10
File Size	688988
Starting Page	2198
Ending Page	2207
File Format	PDF
ISSN	10577149
Volume Number	15
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Signal processing algorithms Fourier transforms Object detection Image analysis Grid computing Biomedical signal processing Frequency estimation Spectral analysis Computer vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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