Image Segmentation Using Multi-Region Active Contours
Chen Shapira and Tamir Segev
Supervised by Anastasia Dubrovina
Our project focused on the Multi-region Active Contours with a single Level-Set function method. This method allows quick & accurate image segmentation on 2d and 3d images. This is done by dividing the image into multiple regions by calculating a single nonnegative distance function, which is easily extracted using the Voronoi Implicit Interface Method.
Please, see project report.
Please, see final presentation.