NDLI: Position, rotation, and scale invariant recognition of images using higher-order spectra

Content Provider	IEEE Xplore Digital Library
Author	Chandran, V. Elgar, S.L.
Copyright Year	1992
Description	Author affiliation: Washington State Univ., Pullman, WA, USA (Chandran, V.; Elgar, S.L.)
Abstract	A new approach to recognition of images using invariant features based on higher-order spectra is presented. Higher-order spectra are translation invariant because translation produces linear phase shifts which cancel. Scale and amplification invariance are satisfied by the phase of the integral of a higher-order spectrum along a radial line in higher-order frequency space because the contour of integration maps onto itself and both the real and imaginary parts are affected equally by the transformation. Rotation invariance is introduced by deriving invariants from the Radon transform of the image and using the cyclic-shift invariance property of the discrete Fourier transform magnitude. Results on synthetic and actual images show isolated, compact clusters in feature space and high classification accuracies.<>
Starting Page	213
Ending Page	216
File Size	252582
Page Count	4
File Format	PDF
ISBN	0780305329
ISSN	15206149
DOI	10.1109/ICASSP.1992.226532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-03-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Frequency Data mining Discrete Fourier transforms Fourier transforms Information resources Shape Feature extraction Object detection Impedance matching
Content Type	Text
Resource Type	Article

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