1 June 1994 Binary optical correlation using pyramidal processing
Author Affiliations +
Optical Engineering, 33(6), (1994). doi:10.1117/12.174453
We determined the performance of an optical correlator that used input images of N x N pixels to examine larger images of LN x LN pixels. The larger images were examined in parallel using a pyramid technique. We used morphological processing to approximate a low-pass filter to generate an image pyramid for a binary correlator. In correlation experiments we found that the discrimination between objects and SNR dropped with increasing L. Although the discrimination may remain useful, the more rapidly decreasing SNR limited the value of L that could be used. In addition, we showed by simulation the processing of a 512 x 512 pixel image from an infrared sensor with a 128 x 128 pixel binary optical correlator.
Samuel Peter Kozaitis, Wesley E. Foor, "Binary optical correlation using pyramidal processing," Optical Engineering 33(6), (1 June 1994). http://dx.doi.org/10.1117/12.174453

Image processing

Image filtering

Signal to noise ratio

Binary data

Optical correlators

Linear filtering

Nonlinear filtering

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