Comparative analysis of modern automated algorithms image segmentation
O.M. Lisenko, A.YU. Varfolomєєv · Electronics and Communications · 2012
Unsupervised image segmentation algorithms based on-mean clustering, expectation-maximization, mean-shift, normalized graph cut, weighted aggregation, statistical region merging, JSEG, HGS and ROI-SEG are considered. The results of segmentation obtained by mentioned algorithms on textural, satellite and natural images are presented. The analysis of quality and segmentation speed of each algorithm realization is performed