Remove dc term and false alarms in fringe-adjusted joint transform correlator by using binary random phase mask

Horache, El-Houssine; Alam, Mohammad S.

doi:10.1016/j.optcom.2004.10.026

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Fringe-adjusted JTC (FJTC) is proposed where the JPS is multiplied by a real valued filter, called the fringeadjusted filter, at the Fourier plane before applying the inverse Fourier transform to yield the correlation output [5][6][7][8][9][10][11][12][13][14][15][16]. Unlike binary JTC, the FJTC does not require the computation of the threshold value and it does not produce higherorder harmonic correlation peaks in the output plane.…”

Section: Introductionmentioning

confidence: 99%

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Optical implementation of reference phase-encoded fringe-adjusted joint transform correlation

Alam

Horache

2005

SPIE Proceedings

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ABSTARCTIn this paper, we propose a new optical implementation for reference-phase-encoded joint transform correlation technique for efficient multiple target detection. The proposed method employs phase encoding for the reference image and nonlinear Fourier plane apodization for optimizing the detection performance. The reference phase-encoded joint transform Correlator (JTC) overcomes false target detection by eliminating the false correlation peaks while alleviating the effects of noise and other artifacts in just one-step thus ensuring higher processing speed. This technique yields only one peak per target instead of a pair of peaks produced by alternate JTCs. An all-optical implementation for the reference phase-encoded JTC technique is proposed and experimental results are presented.

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Section: Introductionmentioning

confidence: 99%

“…Recently, the new architecture [ 15 ] are proposed, called nonzero-order fringe-adjusted joint transform correlator using a binary random phase mask, for near real time pattern recognition applications. The binary random phase mask encodes the reference image by two equal probability phases before it is introduced in the joint input image.…”

Section: Introductionmentioning

confidence: 99%