Automatic Pattern Recognition of Binary Image Objects using Mathematical Mor- phology

In this paper, we present a methodology for automatic pattern recognition of binary images objects using morphological operators and genetic programming. The results are expressed in terms of the basic morphological operators and logical operators. Genetic Programming (GP) is based on concepts of genetics and Darwin’s principle of natural selection to genetically breed and evolve computer programs to solve a wide variety of problems. GP is a relatively new branch of evolutionary computation and it is gradually consolidating as a promising methodology to be used in applications involving pattern recognition. Mathematical morphology is based on the set theory (complete lattice) where the notion of order is very important. This processing technique has proved to be a powerful tool for many computer vision tasks. An example of application is presented and the result is compared with other methods in the literature.