Joint transform correlator performance enhancement by a logarithmic- polar transformation

Pérez, Osvaldo

doi:10.1117/12.148112

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Cited by 5 publications

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“…We tried to use the Fourier-Mellin [40], [43], [44], [45] transform within the iteration but failed to obtain acceptable results probably due to the complexity of the input scene. The basic idea to correlate the Fourier power spectra (which are shift invariant and therefore tractable by the Mellin transform) is not suitable here because the information of the spatial position of spatial frequencies within the images is lost due to the elimination of the phase of the Fourier transform.…”

Section: B Multiple Reference Casementioning

confidence: 99%

Iterative nonlinear joint transform correlation for the detection of objects in cluttered scenes

Haist

Tiziani

1999

Optics Communications

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Abstract-An iterative correlation technique with digital image processing in the feedback loop for the detection of small objects in cluttered scenes is proposed. A scanning aperture is combined with the method in order to improve the immunity against noise and clutter. Multiple reference objects or different views of one object are processed in parallel. We demonstrate the method by detecting a noisy and distorted face in a crowd with a nonlinear joint transform correlator.

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