@inbook {869,
	title = {Skeletonization based on metrical neighborhood sequences},
	booktitle = {Computer Vision Systems},
	number = {5008},
	year = {2008},
	note = {ScopusID: 44649159529doi: 10.1007/978-3-540-79547-6},
	month = {May 2008},
	pages = {333 - 342},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	type = {Conference paper},
	address = {Santorini, Greece},
	abstract = {<p>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. {\textcopyright} 2008 Springer- Verlag Berlin Heidelberg.</p>},
	isbn = {978-3-540-79546-9},
	issn = {0302-9743},
	doi = {10.1007/978-3-540-79547-6_32},
	author = {Attila Fazekas and K{\'a}lm{\'a}n Pal{\'a}gyi and Gy{\"o}rgy Kov{\'a}cs and G{\'a}bor N{\'e}meth},
	editor = {Antonios Gasteratos and Markus Vincze and John K Tsotsos}
}
