Review Paper on Brain Image Segmentation Using Chan-vese Algorithm and Active Contours

Segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). Such common segmentation tasks including segmenting written text or segmenting tumors from healthy brain tissue in an MRI image, etc. Chan-Vese model for active contours is a powerful and flexible method which is able to segment many types of images, including some that would be quite difficult to segment in means of "classical" segmentation – i.e., using thresholding or gradient based methods The model is based on an energy minimization problem, which can be reformulated in the level set formulation, leading to an easier way to solve the problem.