Region-based multi-spectral image segmentation using evolutionary strategies

One of the most important stages of image processing is image segmentation to extract different features. In this paper, we present a region-based algorithm for multi spectral image segmentation using evolutionary strategies (ESs). We use ES to find the center of regions of the image and then classify it using Euclidean or angular distances. We also use different indices to evaluate the fitness of the resulted centers of ES (chromosomes) and compare their results to choose the best.