Morphing active contours : a geometric approach to topology-independent image segmentation and tracking

Bertalmío, Marcelo - Sapiro, Guillermo - Randall, Gregory

Resumen:

A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial differential equation. The technique can be applied to object tracking and slice-by-slice segmentation of 3D data. The topology of the deforming curve can change, without any special topology handling procedures added to the scheme. This permits for example the automatic tracking of scenes where, due to occlusions, the topology of the objects of interest changes from frame to frame.


Detalles Bibliográficos
1998
Active contours
Image segmentation
Partial differential equations
Image processing
PROCESAMIENTO de SEÑALES
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/20753
Acceso abierto
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
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author Bertalmío, Marcelo
author2 Sapiro, Guillermo
Randall, Gregory
author2_role author
author
author_facet Bertalmío, Marcelo
Sapiro, Guillermo
Randall, Gregory
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Bertalmío, Marcelo
Sapiro, Guillermo
Randall, Gregory
dc.date.accessioned.none.fl_str_mv 2019-05-29T15:28:07Z
dc.date.available.none.fl_str_mv 2019-05-29T15:28:07Z
dc.date.issued.es.fl_str_mv 1998
dc.date.submitted.es.fl_str_mv 20190528
dc.description.abstract.none.fl_txt_mv A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial differential equation. The technique can be applied to object tracking and slice-by-slice segmentation of 3D data. The topology of the deforming curve can change, without any special topology handling procedures added to the scheme. This permits for example the automatic tracking of scenes where, due to occlusions, the topology of the objects of interest changes from frame to frame.
dc.description.es.fl_txt_mv Postprint
dc.identifier.citation.es.fl_str_mv Bertalmío, Marcelo, Sapiro, Guillermo, Randall, Gregory. Morphing active contours : a geometric approach to topology-independent image segmentation and tracking [en línea] International Conference on Image, 1998. ICIP98. Proceedings
dc.identifier.doi.es.fl_str_mv DOI: 10.1109/ICIP.1998.999021
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/20753
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv IEEE
dc.relation.ispartof.es.fl_str_mv International Conference on Image, 1998. ICIP98. Proceedings
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Active contours
Image segmentation
Partial differential equations
Image processing
dc.subject.other.es.fl_str_mv PROCESAMIENTO de SEÑALES
dc.title.none.fl_str_mv Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Postprint
eu_rights_str_mv openAccess
format article
id COLIBRI_0fea972b1ff1ae2986517de9f33e766f
identifier_str_mv Bertalmío, Marcelo, Sapiro, Guillermo, Randall, Gregory. Morphing active contours : a geometric approach to topology-independent image segmentation and tracking [en línea] International Conference on Image, 1998. ICIP98. Proceedings
DOI: 10.1109/ICIP.1998.999021
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
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publishDate 1998
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
spelling 2019-05-29T15:28:07Z2019-05-29T15:28:07Z199820190528Bertalmío, Marcelo, Sapiro, Guillermo, Randall, Gregory. Morphing active contours : a geometric approach to topology-independent image segmentation and tracking [en línea] International Conference on Image, 1998. ICIP98. Proceedingshttps://hdl.handle.net/20.500.12008/20753DOI: 10.1109/ICIP.1998.999021PostprintA method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial differential equation, while tracking the deformation of the curves of interest in the first image with an additional, coupled, partial differential equation. The technique can be applied to object tracking and slice-by-slice segmentation of 3D data. The topology of the deforming curve can change, without any special topology handling procedures added to the scheme. This permits for example the automatic tracking of scenes where, due to occlusions, the topology of the objects of interest changes from frame to frame.Made available in DSpace on 2019-05-29T15:28:07Z (GMT). No. of bitstreams: 5 BSR98.pdf: 1272421 bytes, checksum: bbfa07bde36057d12649ff826964526d (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 1998enengIEEEInternational Conference on Image, 1998. ICIP98. ProceedingsLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Active contoursImage segmentationPartial differential equationsImage processingPROCESAMIENTO de SEÑALESMorphing active contours : a geometric approach to topology-independent image segmentation and trackingArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBertalmío, MarceloSapiro, GuillermoRandall, GregoryProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse
spellingShingle Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
Bertalmío, Marcelo
Active contours
Image segmentation
Partial differential equations
Image processing
PROCESAMIENTO de SEÑALES
status_str publishedVersion
title Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
title_full Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
title_fullStr Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
title_full_unstemmed Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
title_short Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
title_sort Morphing active contours : a geometric approach to topology-independent image segmentation and tracking
topic Active contours
Image segmentation
Partial differential equations
Image processing
PROCESAMIENTO de SEÑALES
url https://hdl.handle.net/20.500.12008/20753