<?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%">Benkirane, Hatim</style></author><author><style face="normal" font="default" size="100%">Benslimane, Rachid</style></author><author><style face="normal" font="default" size="100%">Hachmi, M'Hamed</style></author><author><style face="normal" font="default" size="100%">Sesbou, Ahmed</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Possibilité de contrôle automatique de la qualité du liège par vision artificielle</style></title><secondary-title><style face="normal" font="default" size="100%">Ann. For. Sci.</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Classification</style></keyword><keyword><style  face="normal" font="default" size="100%">cork quality control</style></keyword><keyword><style  face="normal" font="default" size="100%">defect quantification</style></keyword><keyword><style  face="normal" font="default" size="100%">digital image</style></keyword><keyword><style  face="normal" font="default" size="100%">visual system</style></keyword></keywords><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><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1051/forest:2001139</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">455 - 465</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The quality control often requires some visual inspection systems for defects detection in industrial production. In such application, those systems offer more reliability and lower processing time than a human operator. So this paper aims to introduce an automatic procedure to quality control of cork bits used for quality estimation of cork stacks, which is based on digital image analysis techniques. This procedure tries to quantify defects density of cork bit and to classify them in different quality classes. Experimental results are presented in order to evaluate the performance of the proposed automatic procedure.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record></records></xml>