Image Thresholding with Cell-like P Systems | Research Group on Natural Computing

Title	Image Thresholding with Cell-like P Systems
Publication Type	Conference Contributions
Year of Publication	2012
Authors	Peng, H., Shao J., Li B., Wang J., Pérez-Jiménez M. J., Jiang Y., & Yang Y.
Conference Name	Tenth Brainstorming Week on Membrane Computing
Volume Title	Proceedings of the Tenth Brainstorming Week on Membrane Computing
Publisher	Fénix Editora
Place Published	Seville, Spain
Volume	II
Pages	75-88
Date Published	02/2012
Abstract	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.
Keywords	Celllike P systems, Image segmentation, Membrane computing, Thresholding approach, Total fuzzy entropy
URL	http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/Hong%20Peng%20et%20al%20-%2010th%20BWMC.pdf