Position, rotation, and scale invariant recognition of images using higher-order spectra
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 213-216 vol.5
- https://doi.org/10.1109/icassp.1992.226532
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.Keywords
This publication has 7 references indexed in Scilit:
- Pattern Recognition Using Invariants Defined From Higher Order Spectra- One Dimensional InputsIEEE Transactions on Signal Processing, 1993
- Translation, rotation, and scaling invariant object and texture classification using polyspectraPublished by SPIE-Intl Soc Optical Eng ,1990
- Detecting a transient signal by bispectral analysisIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Signal detection and classification using matched filtering and higher order statisticsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Bispectrum estimation: A digital signal processing frameworkProceedings of the IEEE, 1987
- A correlation based technique for shift, scale, and rotation independent object identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- A Fast Correlation Method for Scale-and Translation-Invariant Pattern RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984