Repositorio de producción científica de la Universidad de Sevilla

Region-based segmentation of 2D and 3D images with tissue-like P systems

 

Advanced Search
 
Opened Access Region-based segmentation of 2D and 3D images with tissue-like P systems
Cites

Show item statistics
Icon
Export to
Author: Christinal, Hepzibah A.
Díaz Pernil, Daniel
Real Jurado, Pedro
Department: Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)
Date: 2011
Published in: Pattern Recognition Letters, 32 (16), 2206-2212.
Document type: Article
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 develop a variant of P-system, called tissue-like P system in order to design in this computational setting, a region-based segmentation algorithm of 2D pixel-based and 3D voxel-based digital images. Concretely, we use 4-adjacency neighborhood relation between pixels in 2D and 6-adjacency neighborhood relation between voxel in 3D for segmenting digital images in a constant number of steps. Finally, specific software is used to check the validity of these systems with some simple examples.
Size: 1.545Mb
Format: PDF

URI: http://hdl.handle.net/11441/33037

DOI: http://dx.doi.org/10.1016/j.patrec.2011.05.004

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

This item appears in the following Collection(s)