Evolutionary Algorithm for Segmentation of Medical Images by Region Rrowing

Image segmentation by region growing method is robust fast and very easy to implemented, but it suffers from: the threshold problem, initialization, and sensitivity to noise. Evolutionary algorithms are particular methods for optimizing functions, they have a great ability to find the global optimum of a problem. In this paper, we used evolutionary algorithms to get over the three problems. We have proposed a segmentation method based on region growing and evolutionary algorithms. The proposed approach is validated on four hundred synthetic images and medical. The results show the good performance of this approach.