Segmentation in 2D and 3D image using Tissue-Like P System

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 withi...

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Bibliographic Details
Authors: Christinal, Hepzibah A., Díaz Pernil, Daniel, Real Jurado, Pedro
Format: book part
Status:Versión enviada para evaluación y publicación
Publication Date:2009
Country:España
Institution:Universidad de Sevilla (US)
Repository:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/31978
Online Access:http://hdl.handle.net/11441/31978
https://doi.org/10.1007/978-3-642-10268-4_20
Access Level:Open access
Keyword:Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Imaging
Vision
Pattern Recognition and Graphics
Biometrics
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spelling Segmentation in 2D and 3D image using Tissue-Like P SystemChristinal, Hepzibah A.Díaz Pernil, DanielReal Jurado, PedroPattern RecognitionImage Processing and Computer VisionArtificial Intelligence (incl. Robotics)Computer ImagingVisionPattern Recognition and GraphicsBiometricsMembrane 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.Matemática Aplicada IFQM296: Topología Computacional y Matemática Aplicada2009info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/31978https://doi.org/10.1007/978-3-642-10268-4_20reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, Vol. 5856 p. 169-176info:eu-repo/semantics/openAccessoai:idus.us.es:11441/319782026-06-17T12:51:07Z
dc.title.none.fl_str_mv Segmentation in 2D and 3D image using Tissue-Like P System
title Segmentation in 2D and 3D image using Tissue-Like P System
spellingShingle Segmentation in 2D and 3D image using Tissue-Like P System
Christinal, Hepzibah A.
Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Imaging
Vision
Pattern Recognition and Graphics
Biometrics
title_short Segmentation in 2D and 3D image using Tissue-Like P System
title_full Segmentation in 2D and 3D image using Tissue-Like P System
title_fullStr Segmentation in 2D and 3D image using Tissue-Like P System
title_full_unstemmed Segmentation in 2D and 3D image using Tissue-Like P System
title_sort Segmentation in 2D and 3D image using Tissue-Like P System
dc.creator.none.fl_str_mv Christinal, Hepzibah A.
Díaz Pernil, Daniel
Real Jurado, Pedro
author Christinal, Hepzibah A.
author_facet Christinal, Hepzibah A.
Díaz Pernil, Daniel
Real Jurado, Pedro
author_role author
author2 Díaz Pernil, Daniel
Real Jurado, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv Matemática Aplicada I
FQM296: Topología Computacional y Matemática Aplicada
dc.subject.none.fl_str_mv Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Imaging
Vision
Pattern Recognition and Graphics
Biometrics
topic Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Computer Imaging
Vision
Pattern Recognition and Graphics
Biometrics
description 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.
publishDate 2009
dc.date.none.fl_str_mv 2009
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/submittedVersion
format bookPart
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/31978
https://doi.org/10.1007/978-3-642-10268-4_20
url http://hdl.handle.net/11441/31978
https://doi.org/10.1007/978-3-642-10268-4_20
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science, Vol. 5856 p. 169-176
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407718599557120
score 15,300719

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