Segmentation d’Image par la Méthode de ligne de partage des eaux et par croissance de régio

Abstract

This thesis developed an effective region-based segmentation software for extracting and analyzing regions of interest in images. The results are encouraging and open up numerous application perspectives. Region-based segmentation remains an active research area, offering opportunities for improving the accuracy and flexibility of existing methods. Additional efforts in machine learning and algorithm optimization can further enhance the software's performance and pave the way for new research directions.