A genetic algorithm based approach for combining binary image operators

Combining several binary image operators, each one based on different windows, has proven to be an effective way to produce operators with better performance than designing single operators based on one window only. To facilitate the combination task that so far is done manually, we propose a genetic algorithm (GA) based approach. It consists of the definition of a collection of candidate windows and the use of a GA to select a subset of them that will determine the operators to be combined. Experimental results show that the proposed GA based approach produces combinations that are consistently better than those obtained manually, and indicate that the proposed window collections do contain relevant windows.