Abstract
AbstractIn this paper, performance of a joint fractional correlator for digital holography based three-dimensional (3D) object recognition has been enhanced using wavelet filter. Digital Fresnel holograms of 3D objects have been optically captured and numerically reconstructed. The correlation has been carried out by comparing the two 3D images reconstructed from corresponding digital holograms with the help of joint fractional correlator. The reconstructed objects are multiplied with appropriately scaled Mexican-hat wavelet filter in Fresnel domain to improve the performance of the fractional correlator. The performance measure parameters; discrimination ratio and peak-to-correlation energy have been computed to show that the filter enhances the correlation output.KeywordsTarget ObjectFourier DomainWavelet FilterDiscrimination RatioDigital HolographyThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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