A New Approach in the Combines of Active Contour Models and Multiphase Level Set for Segmenting of Medical Images: A Case Study

Medical images segmentation due to the increasing volume of this images is difficult and in accessible to human. with development of image processing we can use computers to help. Segmentation of the early stages of image processing are very well regarded. In this paper, a combination method based on level set and active contour models have been proposed to achieve more accurate image in image processing. The selected dataset contains different slices that in this article 8 slices have been selected for testing. The proposed algorithm was applied on these slices and it has been compared with previous methods. The results have been tested on MRI images of the brain and this results show that the proposed method is better than other methods proposed before.