Segmentation des images médicales par contour actif

Abstract

Segmentation 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 .