<?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%">Kálmán Palágyi</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Walter G Kropatsch</style></author><author><style face="normal" font="default" size="100%">Martin Kampel</style></author><author><style face="normal" font="default" size="100%">Allan Hanbury</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A 3-subiteration surface-thinning algorithm</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Analysis of Images and Patterns</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2007</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4673</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Vienna, Austria</style></pub-location><pages><style face="normal" font="default" size="100%">628 - 635</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-74271-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Thinning is an iterative layer by layer erosion for extractingskeleton. This paper presents an efficient parallel 3D thinning algorithm which produces medial surfaces. A three-subiteration strategy is proposed: the thinning operation is changed from iteration to iteration with a period of three according to the three deletion directions. © Springer-Verlag Berlin Heidelberg 2007.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record><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%">Jörg Meier</style></author><author><style face="normal" font="default" size="100%">Rudriger Bock</style></author><author><style face="normal" font="default" size="100%">Georg Michelson</style></author><author><style face="normal" font="default" size="100%">László Gábor Nyúl</style></author><author><style face="normal" font="default" size="100%">Joachim Hornegger</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Walter G Kropatsch</style></author><author><style face="normal" font="default" size="100%">Martin Kampel</style></author><author><style face="normal" font="default" size="100%">Allan Hanbury</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification</style></title><secondary-title><style face="normal" font="default" size="100%">Computer Analysis of Images and Patterns</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title><short-title><style face="normal" font="default" size="100%">LNCS</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2007</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4673</style></number><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">165 - 172</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-74271-5</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Early detection of glaucoma is essential for preventing one ofthe most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photographs which does not depend on structure segmentation or prior expert knowledge. Our new data driven approach that needs no manual assistance achieves an accuracy of detecting glaucomatous retina fundus images compareable to human experts. In this paper, we study image preprocessing methods to provide better input for more reliable automated glaucoma detection. We reduce disease independent variations without removing information that discriminates between images of healthy and glaucomatous eyes. In particular, nonuniform illumination is corrected, blood vessels are inpainted and the region of interest is normalized before feature extraction and subsequent classification. The effect of these steps was evaluated using principal component analysis for dimension reduction and support vector machine as classifier.&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: 38149068236doi: 10.1007/978-3-540-74272-2_21</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Peter Horvath</style></author><author><style face="normal" font="default" size="100%">Ian Jermyn</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Walter G. Kropatsch</style></author><author><style face="normal" font="default" size="100%">Martin Kampel</style></author><author><style face="normal" font="default" size="100%">Allan Hanbury</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A New Phase Field Model of a 'gas of Circles' for Tree Crown Extraction from Aerial Images</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Computer Analysis of Images and Patterns (CAIP)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Vienna, Austria</style></pub-location><volume><style face="normal" font="default" size="100%">4673</style></volume><pages><style face="normal" font="default" size="100%">702-709</style></pages><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type></record></records></xml>