Automatic initialization for segmentation of medical images based on active contour

Image segmentation forms the crux of an image processing module. Its main goal is to divide the image into foreground and background with region of interest occupying the former. To achieve quality segmentation particularly in medical imaging, algorithms require user interaction with domain knowledge. Active contours are well established techniques which are prolifically used for segmenting medical images. It falls under the semi automatic method owing to the manual contour initialization. In this paper, we propose a simple, global approach of segmentation using an automatic initialization for active contour methods which has the potential to completely eliminate the human interaction.