Image Thresholding with Cell-like P Systems

TitleImage Thresholding with Cell-like P Systems
Publication TypeConference Contributions
Year of Publication2012
AuthorsPeng, H., Shao J., Li B., Wang J., Pérez-Jiménez M. J., Jiang Y., & Yang Y.
Conference NameTenth Brainstorming Week on Membrane Computing
Volume TitleProceedings of the Tenth Brainstorming Week on Membrane Computing
PublisherFénix Editora
Place PublishedSeville, Spain
Date Published02/2012

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.

KeywordsCelllike P systems, Image segmentation, Membrane computing, Thresholding approach, Total fuzzy entropy