Segmentation in 2D and 3D Image Using Tissue-Like P System

Authors:
Hepzibah A. Christinal;Daniel Díaz-Pernil;Pedro Real Jurado
Affiliations:
Research Group on Computational Topology and Applied Mathematics, University of Sevilla, Sevilla, Spain 41012 and Karunya University, Coimbatore, India;Research Group on Computational Topology and Applied Mathematics, University of Sevilla, Sevilla, Spain 41012;Research Group on Computational Topology and Applied Mathematics, University of Sevilla, Sevilla, Spain 41012
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

Membrane Computing is a biologically inspired computational model. Its devices are called P systems and they perform computations by applying a finite set of rules in a synchronous, maximally parallel way. In this paper, we open a new research line: P systems are used in Computational Topology within the context of the Digital Image. We choose for this a variant of P systems, called tissue-like P systems , to obtain in a general maximally parallel manner the segmentation of 2D and 3D images in a constant number of steps. Finally, we use a software called Tissue Simulator to check these systems with some examples.