Neural networks learning methods for image processing applications

This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and the genetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.