Heuristic parametrization of anisotropic diffusion filtering

Abstract

The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion filter in degraded images with additive noise. The experiments show the potential of the evolutionary methods to optimize the parametrization, with the objective of evaluating the performance of filters, applied on a set of degraded images with controlled conditions and a known ground truth.