Segmentation of image using watershed and fast level set methods
M. M. Puranik, S. Krishnan · 2011
Technology is proliferating. Many methods are used for medical imaging. The important methods used here are fast marching and fast level set in comparison with the watershed transform. Since watershed algorithm was applied to an image has over clusters in segmentation. Both methods are applied to segment the medical images. First, fast marching method is used to extract the rough contours. Then fast level set method is utilized to finely tune the initial boundary. Moreover, Traditional fast marching method was modified by the use of watershed transform.