Nonlinear binary correlations for rotation-invariant pattern recognition using circular harmonic decomposition

Pascuala Garcia-Martinez; Henri H. Arsenault; Carlos Ferreira

doi:10.1117/12.437126

14 August 2001 Nonlinear binary correlations for rotation-invariant pattern recognition using circular harmonic decomposition

Pascuala Garcia-Martinez, Henri H. Arsenault, Carlos Ferreira

Author Affiliations +

Proceedings Volume 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications; (2001) https://doi.org/10.1117/12.437126
Event: IV Iberoamerican Meeting of Optics and the VII Latin American Meeting of Optics, Lasers and Their Applications, 2001, Tandil, Argentina

Abstract

We apply the sliced orthogonal nonlinear generalized (SONG) correlation to rotation invariant pattern recognition using circular harmonic decompositions. The images are decomposed into disjoint binary slices to correlate each of them with one object binary slice circular harmonic component. To obtain the final Rotation Invariant SONG correlation output, we add the correlations from each slice. In addition, in order to improve discrimination capability, the method avoids the time-consuming process of finding proper center for the circular harmonic decompositions.

Citation Download Citation

Pascuala Garcia-Martinez, Henri H. Arsenault, and Carlos Ferreira "Nonlinear binary correlations for rotation-invariant pattern recognition using circular harmonic decomposition", Proc. SPIE 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications, (14 August 2001); https://doi.org/10.1117/12.437126

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