Rule-based symbolic processor for object recognition
David P. Casasent, Abhijit Mahalanobis · Applied Optics · 1987
The application of symbolic processing and rule-based methods for target recognition using correlation filters is considered. The concept of partitioning images is introduced, and its advantages are described. Techniques for rule development, symbolic substitution, error correction via associative processing, and on-line filter adaptation are advanced. Initial simulation results are also presented and discussed.