Region growing segmentation optimized by evolutionary approach and Maximum Entropy
Mohammed Merzougui, Ahmad El Allaoui · Procedia Computer Science · 2019
In this paper, we propose a segmentation method based on region growing and evolutionary algorithms. Before segmentation, the number of classes is determined by the principle of maximum entropy. The proposed approach is validated on some synthetic and real images and, it shows to be very interesting as decision support in quality control.