6533b834fe1ef96bd129d495
RESEARCH PRODUCT
Improved rotation invariant pattern recognition using circular harmonics of binary gray level slices
Carlos FerreiraPascuala García-martínezHenri H. Arsenaultsubject
business.industryBinary numberDisjoint setsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNoisesymbols.namesakeOpticsGaussian noisePattern recognition (psychology)symbolsRotational invarianceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessRotation (mathematics)Mathematicsdescription
We introduce a new rotation invariant pattern recognition method based on nonlinear correlation. The images are decomposed into disjoint binary slices and then correlated using the common linear correlation. This operation is very discriminant even when the target is embedded in strong noise. We extend our sliced orthogonal nonlinear generalized correlation method to rotation invariant pattern recognition by combining the information of a circular harmonic (CH) of each binary slice of the reference object with binary slices of the target. In addition to improved discrimination capability, the method avoids the time-consuming process of finding proper centers for the CHs. Results are presented including the study of the stability of the correlation peaks in the presence of background noise and overlapping Gaussian noise.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2000-11-01 | Optics Communications |