Trade-off Filters for Optical Pattern Recognition with Nonoverlapping Target and Scene Noise

摘要

The design is presented of filters for optical pattern recognition that have optimal trade-offs between the criteria of noise robustness, the sharpness of the correlation peak, and Horner efficiency when the input scene noise and the target are spatially disjoint (nonoverlapping). Computer simulation illustrates the performance of the filters in terms of the criteria.