<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Attila Fazekas</style></author><author><style face="normal" font="default" size="100%">Kálmán Palágyi</style></author><author><style face="normal" font="default" size="100%">György Kovács</style></author><author><style face="normal" font="default" size="100%">Gábor Németh</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Antonios Gasteratos</style></author><author><style face="normal" font="default" size="100%">Markus Vincze</style></author><author><style face="normal" font="default" size="100%">John K Tsotsos</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Skeletonization based on metrical neighborhood sequences</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Vision Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 2008</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">5008</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Santorini, Greece</style></pub-location><pages><style face="normal" font="default" size="100%">333 - 342</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-79546-9</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">ScopusID: 44649159529doi: 10.1007/978-3-540-79547-6</style></notes></record></records></xml>