<?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><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A 2-Subfield 3D Thinning Algorithm for Extracting Medial Curves</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">135 - 142</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">311 - 318</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present two approaches for automatically segmenting thespinal cord/canal from native CT images of the thorax region 
containing the spine. Different strategies are included to 
handle images where only part of the spinal column is visible. 
The algorithms require one seed point given on a slice located 
in the middle region of the spine, and the rest is automatic. 
The spatial extent of the spinal cord/canal is determined 
automatically using anatomical information for segmenting the 
spinal canal while active contours are applied if the spinal 
cord is to be segmented. Both methods work in 2D and use 
propagated information from neighboring slices. They are also 
very rapid in execution, that means an efficient, user-friendly 
workflow. The methods were evaluated by radiologists and were 
found to be useful and met the accuracy and repeatability 
requirements for the particular task.
</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Shape Moments for Region Based Active Contours</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">187 - 194</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Video Object Segmentation Using a Multicue Markovian Model</style></title><secondary-title><style face="normal" font="default" size="100%">Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">OCG</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna</style></pub-location><pages><style face="normal" font="default" size="100%">111 - 118</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>