TY - CHAP T1 - Skeletonization based on metrical neighborhood sequences T2 - Computer Vision Systems Y1 - 2008 A1 - Attila Fazekas A1 - Kálmán Palágyi A1 - György Kovács A1 - Gábor Németh ED - Antonios Gasteratos ED - Markus Vincze ED - John K Tsotsos AB -

Skeleton is a shape descriptor which summarizes the general formof objects. It can be expressed in terms of the fundamental morphological operations. The limitation of that characterization is that its construction based on digital disks such that cannot provide good approximation to the Euclidean disks. In this paper we define a new type of skeleton based on neighborhood sequences that is much closer to the Euclidean skeleton. A novel method for quantitative comparison of skeletonization algorithms is also proposed. © 2008 Springer- Verlag Berlin Heidelberg.

JF - Computer Vision Systems PB - Springer Verlag CY - Santorini, Greece SN - 978-3-540-79546-9 N1 - ScopusID: 44649159529doi: 10.1007/978-3-540-79547-6 ER -