Abstract

An optimization method of the mathematical morphological filter is proposed. This method is based on the concept of learning by the simulated annealing. A novel neural network architecture based on mathematical morphology is utilized.

Keywords

Mathematical morphology, Nonlinear filter, Image processing, Simulated annealing, Neural networks