The resulting skeletons are inaccurate and sensitive to rotation. We are interested in designing skeletonization algorithms that are based on the Euclidean distance metric and are still efficient computation-wise. An important application of a 3D skeleton algorithm is in the cutting-edge diagnostic technology called virtual colonoscopy or more generally virtual endoscopy. The skeleton, or the central path, of the colon is the ideal path from which the entire colon is visualized and examined, either automatically or manually. In the third project we study shape-based image segmentation.
Segmentation is the process of partitioning a picture into meaningful parts.
Here, low level grouping methods must be guided by high level models in order to achieve meaningful results. We are particularly interested in shape models.