HORCH, ImeneTAOULI, Chahrazed2024-02-272024-02-272015https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1927http://dspace.univ-temouchent.edu.dz/handle/123456789/2717Segmentation has become a fundamental step for the quantitative analysis of images in many brain diseases such as Cerebral Vascular Accident stroke ' . In this dissertation we develop methods for detection and removal of this condition which is based on derivates operators then active contour as : snake and level set and we will finish with a method proposed by us which combines with Level set methods derivates . The algorithms developed in this work are tested on a set of brain images .MRI image, stroke, Segmentation Active Contour Snake Level set