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

Chandran, V. & Elgar, S. L. (1992) Position, rotation, and scale invariant recognition of images using higher-order spectra. In Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on, IEEE, San Francisco, California, pp. 213-216.

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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

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ID Code: 45576
Item Type: Conference Paper
Keywords: feature extraction, image reconstruction, spectral analysis, Radon transform, actual images, amplification invariance, classification accuracy, cyclic-shift invariance, discrete Fourier transform, higher-order spectra, image recognition, invariant features, position invariance, rotation invariance, scale invariance, synthetic images, translation invariance
DOI: 10.1109/ICASSP.1992.226532
ISSN: 1520-6149
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright IEEE 1992.
Deposited On: 09 Sep 2011 12:37
Last Modified: 10 Sep 2011 14:51

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