Image preprocessing for phase-only filtering
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We compare the performance of an optical binary phase-only correlator using several nonlinear filters for preprocessing. An image of an airfield with different but similar appearing planes is used as the input data. The performance of the correlator was measured by examining several parameters in the correlation plane. Performance criteria are the signal-to-clutter ratio, the signal-to-noise ratio for objects within the same class, and the variance of the correlation peak within a class. Input images to the correlator were preprocessed using nonlinear filters based on both median filtering and adaptive filtering. The preprocessing improved the performance of the correlator by supressing noise while preserving the edges of the input image. The SNR changes with the position of an object due to diffraction from the pixels of a spatial light modulator. © 1990 SPIE.