ASSESSMENT OF A WIENER FILTER SYNTHETIC DISCRIMINANT FUNCTION FOR OPTICAL CORRELATION

The Wiener filter (WF), which has been used extensively for image rest oration and signal processing, is employed for robust optical pattern recognition and classification. The WF is formulated to incorporate th e in-class image (to be detected) and the out-of-class noise image (to be rejected) into a single step filter construction. It is compared w ith the classical matched filter (CMF) and phase-only filter (POF), de monstrating a superior discriminatory capability. The WF is incorporat ed into a synthetic discriminant function (SDF); correlation results s how that it is tolerant to image distortion. With a 30-degrees out of plane rotation between training set images, the WF SDF achieves a 100% success rate in discriminating one class of images from another. The CMF SDF and POF SDF fail to achieve 100% discrimination even at rotati on increments of 15-degrees.