Automatic generation of simple morphological algorithms

A program for automatically generating simple morphological set-recognition algorithms is described. The program accepts a group of original binary or grey-level images, along with two truth masks for each, indicating the pixels to be accepted and those to be rejected. It then searches an image operator/parameter space for possible solutions, using domain knowledge about the uses and effects of individual operators to reduce the search. Solutions are presented in terms of an image algebraic target language. Currently the system can solve problems which have perfect or nearly perfect solutions in a few operator steps from a repertoire of several thousand operator/parameter combinations. The system supports roughly a dozen different operator groups drawn primarily from mathematical morphology