Name: Kálmán Palágyi
Affiliation: Skeletonization methods and applications
Primary research interest: Discrete topology; Thinning algorithms and their applications
Title of the lecture: Skeletonization methods and applications
Keywords: Skeleton; Skeleton-like shape features; Distance transform; Voronoi diagram; Thinning
Summary: Skeleton-like shape features (i.e., centerlines, medial surfaces, and topological kernels) are frequently used region-based shape features which summarize the general form of objects, and represent their topological structures. They play important role in various applications in image processing, pattern recognition, and visualization. I shall define skeletons and present their properties. Then the three major skeletonization techniques will be presented. Finally, some applications will be outlined.