<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Csaba Molnar</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</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%">Jan-Olof Eklundh</style></author><author><style face="normal" font="default" size="100%">Yuichi Ohta</style></author><author><style face="normal" font="default" size="100%">Steven Tanimoto</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Pattern Recognition (ICPR)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2012</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Tsukuba, Japan</style></pub-location><pages><style face="normal" font="default" size="100%">1427 - 1430</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4673-2216-4 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;article&quot;&gt;&lt;p&gt;This paper proposes a functional that assigns low `energy' to sets of subsets of the image domain consisting of a number of possibly overlapping &lt;span class=&quot;snippet&quot;&gt;near&lt;/span&gt;-&lt;span class=&quot;snippet&quot;&gt;circular&lt;/span&gt; regions of approximately a given radius: a `gas of circles'. The &lt;span class=&quot;snippet&quot;&gt;model&lt;/span&gt; can be used as a prior for &lt;span class=&quot;snippet&quot;&gt;object&lt;/span&gt; extraction whenever the &lt;span class=&quot;snippet&quot;&gt;objects&lt;/span&gt; conform to the `gas of circles' geometry, e.g. cells in biological images. Configurations are represented by a &lt;span class=&quot;snippet&quot;&gt;multi&lt;/span&gt;-&lt;span class=&quot;snippet&quot;&gt;layer&lt;/span&gt; &lt;span class=&quot;snippet&quot;&gt;phase&lt;/span&gt; &lt;span class=&quot;snippet&quot;&gt;field&lt;/span&gt;. Each &lt;span class=&quot;snippet&quot;&gt;layer&lt;/span&gt; has an associated function, regions being defined by thresholding. Intra-&lt;span class=&quot;snippet&quot;&gt;layer&lt;/span&gt; interactions assign low energy to configurations consisting of non-overlapping &lt;span class=&quot;snippet&quot;&gt;near&lt;/span&gt;-&lt;span class=&quot;snippet&quot;&gt;circular&lt;/span&gt; regions, while overlapping regions are represented in separate layers. Inter-&lt;span class=&quot;snippet&quot;&gt;layer&lt;/span&gt; interactions penalize overlaps. Here we present a theoretical and experimental analysis of the &lt;span class=&quot;snippet&quot;&gt;model&lt;/span&gt;.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><accession-num><style face="normal" font="default" size="100%">13324819</style></accession-num></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 Multi-Layer 'Gas of Circles' Markov Random Field Model for the Extraction of Overlapping Near-Circular Objects</style></title><secondary-title><style face="normal" font="default" size="100%">Advances Concepts for Intelligent Vision Systems (ACIVS)</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%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Aug 2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.inf.u-szeged.hu/ipcg/publications/Year/2011.complete.xml#Nemeth-etal2011</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">6915</style></number><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Ghent, Belgium</style></pub-location><pages><style face="normal" font="default" size="100%">171 - 182</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-23686-0</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a given size. Each layer has an associated binary field that specifies a region corresponding to objects. Overlapping objects are represented by regions in different layers. Within each layer, long-range interactions favor connected components of approximately circular shape, while regions in different layers that overlap are penalized. Used as a prior coupled with a suitable data likelihood, the model can be used for object extraction from images, e.g. cells in biological images or densely-packed tree crowns in remote sensing images. We present a theoretical and experimental analysis of the model, and demonstrate its performance on various synthetic and biomedical images.&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%">UT: 000306962700016</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</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><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Josiane Zerubia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction</style></title><secondary-title><style face="normal" font="default" size="100%">PATTERN RECOGNITION</style></secondary-title><short-title><style face="normal" font="default" size="100%">PATTERN RECOGN</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">42</style></volume><pages><style face="normal" font="default" size="100%">699 - 709</style></pages><isbn><style face="normal" font="default" size="100%">0031-3203</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">5</style></issue><notes><style face="normal" font="default" size="100%">UT: 000263431200011doi: 10.1016/j.patcog.2008.09.008</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Kör alakú objektumok szegmentálása Markov mező segítségével</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2009</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan 2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://vision.sztaki.hu/~kepaf/kepaf2009_CD/files/116-4-MRFCircle08.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Akaprint</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest</style></pub-location><pages><style face="normal" font="default" size="100%">1 - 9</style></pages><language><style face="normal" font="default" size="100%">hun</style></language><work-type><style face="normal" font="default" size="100%">Conference paper</style></work-type><notes><style face="normal" font="default" size="100%">Received the Attila Kuba Prize</style></notes></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%">Tamás Blaskovics</style></author><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ian Jermyn</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Markov random field model for extracting near-circular shapes</style></title><secondary-title><style face="normal" font="default" size="100%">16th IEEE International Conference on Image Processing (ICIP)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Nov 2009</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Cairo, Egypt</style></pub-location><pages><style face="normal" font="default" size="100%">1073 - 1076</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4244-5653-6 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We propose a binary Markov Random Field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the 'gas of circles' phase field model in a principled way, thereby creating an 'equivalent'MRF. The behaviour of the resultingMRF model is analyzed, and the performance of the new model is demonstrated on various synthetic images as well as on the problem of tree crown detection in aerial images. ©2009 IEEE.&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%">UT: 000280464300268ScopusID: 77951945383doi: 10.1109/ICIP.2009.5413472</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%">Marek Domanski</style></author><author><style face="normal" font="default" size="100%">Ryszard Stasinski</style></author><author><style face="normal" font="default" size="100%">Maciej Bartkowiak</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A 'gas of Circles' Phase Field Model and its Application to Tree Crown Extraction</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the European Signal Processing Conference (EUSIPCO)</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%">Poznan, Poland</style></pub-location><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>47</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Kör alakú objektumok szegmentálása magasabb rendű aktív kontúr modellek segítségével</style></title><secondary-title><style face="normal" font="default" size="100%">A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2007</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%">Jan 2007</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Képfeldolgozók és Alakfelismerők Társasága</style></publisher><pub-location><style face="normal" font="default" size="100%">Debrecen</style></pub-location><pages><style face="normal" font="default" size="100%">133 - 140</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><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>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><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 higher-order active contour model for tree detection</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the18th International Conference on Pattern Recognition, ICPR 2006</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">130 - 133</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present a model of a 'gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short range repulsive interactions, and apply it to the extraction of tree crowns from aerial images. The method uses the recently introduced 'higher order active contours' (HOACs), which incorporate long-range interactions between contour points, and thereby include prior geometric information without using a template shape. This makes them ideal when looking for multiple instances of an entity in an image. We study an existing HOAC model for networks, and show via a stability calculation that circles stable to perturbations are possible for constrained parameter sets. Combining this prior energy with a data term, we show results on aerial imagery that demonstrate the effectiveness of the method and the need for prior geometric knowledge. The model has many other potential applications. © 2006 IEEE.&lt;/p&gt;</style></abstract><notes><style face="normal" font="default" size="100%">ScopusID: 34047219865doi: 10.1109/ICPR.2006.79</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><author><style face="normal" font="default" size="100%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Josiane Zerubia</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Higher-Order Active Contour Model for Tree Detection</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the International Conference on Pattern Recognition (ICPR)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IAPR</style></publisher><pub-location><style face="normal" font="default" size="100%">Hong Kong, China</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">130–133</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present a model of a 'gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short range repulsive interactions, and apply it to the extraction of tree crowns from aerial images. The method uses the recently introduced 'higher order active contours' (HOACs), which incorporate long-range interactions between contour points, and thereby include prior geometric information without using a template shape. This makes them ideal when looking for multiple instances of an entity in an image. We study an existing HOAC model for networks, and show via a stability calculation that circles stable to perturbations are possible for constrained parameter sets. Combining this prior energy with a data term, we show results on aerial imagery that demonstrate the effectiveness of the method and the need for prior geometric knowledge. The model has many other potential applications. &lt;tt&gt; &lt;/tt&gt;&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>13</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A Higher-Order Active Contour Model of a `Gas of Circles' and its Application to Tree Crown Extraction</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><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%">An Improved `Gas of Circles' Higher-Order Active Contour Model and its Application to Tree Crown Extraction</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006///</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin; Heidelberg; New York</style></pub-location><pages><style face="normal" font="default" size="100%">152 - 161</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">doi: 10.1007/11949619_14</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%">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></records></xml>