Threshold Optimization by Genetic Algorithm for Segmentation of Medical Images by Region Growing
Labo Matsi · 2012
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. Genetic 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 genetic algorithms to get over the threshold problem. We have proposed a segmentation method based on region growing and genetic algorithms. The proposed approach is validated on synthetic images and medical. The results show the good performance of this approach.