Distortion-invariant recognition of volume holographic correlator based on morphological algorithm and synthetic discriminant function

We proposed a novel method based on mathematical morphological algorithm and space domain synthetic discriminant function (SDF) for distortion-invariant recognition of volume holographic correlator (VHC). To suppress the effect of pattern-dependent behavior, a new morphological algorithm is introduced, which can process the gray-scale images into strong and clean edge maps without redundancy and irrelevant detail. Using these edge maps, SDF filters are synthesized for detecting distorted targets on VHC system. Experimental results demonstrate that the proposed method can achieve both rotation and scale invariant recognition.