<?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%">Jozsef Nemeth</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%">Jacques Blanc-Talon</style></author><author><style face="normal" font="default" size="100%">Wilfried Philips</style></author><author><style face="normal" font="default" size="100%">Dan Popescu</style></author><author><style face="normal" font="default" size="100%">Paul Scheunders</style></author><author><style face="normal" font="default" size="100%">Richard Kleihorst</style></author></secondary-authors></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></records></xml>