Pattern recognition using invariants defined from higher order spectra - one-dimensional inputs

Chandran, Vinod & Elgar, Stephen L. (1993) Pattern recognition using invariants defined from higher order spectra - one-dimensional inputs. IEEE Transactions on Signal Processing, 41(1), pp. 205-212.

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A new approach to pattern recognition using invariant parameters based on higher order spectra is presented. In particular, invariant parameters derived from the bispectrum are used to classify one-dimensional shapes. The bispectrum, which is translation invariant, is integrated along straight lines passing through the origin in bifrequency space. The phase of the integrated bispectrum is shown to be scale and amplification invariant, as well. A minimal set of these invariants is selected as the feature vector for pattern classification, and a minimum distance classifier using a statistical distance measure is used to classify test patterns. The classification technique is shown to distinguish two similar, but different bolts given their one-dimensional profiles. Pattern recognition using higher order spectral invariants is fast, suited for parallel implementation, and has high immunity to additive Gaussian noise. Simulation results show very high classification accuracy, even for low signal-to-noise ratios.

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95 citations in Scopus
71 citations in Web of Science®
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ID Code: 46404
Item Type: Journal Article
Refereed: Yes
Keywords: feature extraction, image classification, object recognition, Fourier transforms, spectral analysis, Gaussian noise, Additive noise
DOI: 10.1109/TSP.1993.193139
ISSN: 1053-587X
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical and Computational Mathematics not elsewhere classified (010399)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: IEEE
Deposited On: 11 Oct 2011 22:46
Last Modified: 23 Jun 2017 14:42

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