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.

View at publisher


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

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

41 since deposited on 09 Sep 2011
0 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 45576
Item Type: Conference Paper
Refereed: No
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 02:37
Last Modified: 10 Sep 2011 04:51

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page