<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hong Peng</style></author><author><style face="normal" font="default" size="100%">Jie Shao</style></author><author><style face="normal" font="default" size="100%">Bing Li</style></author><author><style face="normal" font="default" size="100%">Jun Wang</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author><author><style face="normal" font="default" size="100%">Yang Jiang</style></author><author><style face="normal" font="default" size="100%">Yufan Yang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Image Thresholding with Cell-like P Systems</style></title><secondary-title><style face="normal" font="default" size="100%">Tenth Brainstorming Week on Membrane Computing</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings of the Tenth Brainstorming Week on Membrane Computing</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Celllike P systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Image segmentation</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">Thresholding approach</style></keyword><keyword><style  face="normal" font="default" size="100%">Total fuzzy entropy</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/Hong%20Peng%20et%20al%20-%2010th%20BWMC.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Fénix Editora</style></publisher><pub-location><style face="normal" font="default" size="100%">Seville, Spain</style></pub-location><volume><style face="normal" font="default" size="100%">II</style></volume><pages><style face="normal" font="default" size="100%">75-88</style></pages><abstract><style face="normal" font="default" size="100%">P systems are a new class of distributed parallel computing models. In this
paper, a novel three-level thresholding approach for image segmentation based on celllike P systems is proposed in order to improve the computational eﬃciency of multilevel thresholding. A cell-like P system with a specially designed membrane structure is
developed and an improved evolution mechanism is integrated into the cell-like P system.
Due to parallel computing ability and particular mechanism of the cell-like P system, the
presented thresholding approach can eﬀectively search the optimal thresholds for threelevel thresholding based on total fuzzy entropy. Experimental results of both qualitative
and quantitative comparisons for the proposed approach and GA-based and PSO-based
approaches illustrate the applicability and eﬀectiveness.</style></abstract></record></records></xml>