<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Zoltan Kato</style></author><author><style face="normal" font="default" size="100%">Ting Chuen Pong</style></author><author><style face="normal" font="default" size="100%">Chung-Mong J Lee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Color image segmentation and parameter estimation in a markovian framework</style></title><secondary-title><style face="normal" font="default" size="100%">PATTERN RECOGNITION LETTERS</style></secondary-title><short-title><style face="normal" font="default" size="100%">PATTERN RECOGN LETT</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2001///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">22</style></volume><pages><style face="normal" font="default" size="100%">309 - 321</style></pages><isbn><style face="normal" font="default" size="100%">0167-8655</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes. © 2001 Elsevier Science B.V. All rights reserved.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3-4</style></issue><notes><style face="normal" font="default" size="100%">UT: 000167983900005ScopusID: 0035272740doi: 10.1016/S0167-8655(00)00106-9</style></notes></record></records></xml>