Segmentation with active contours: A comparative study of B-Spline and Level Set techniques

Active contours approach is a very used family of techniques in image analysis. This work presents a comparative study between two active contour approaches for image segmentation. Level sets method and deformable contours under B-spline representation are compared. These image segmentation methods...

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Detalles Bibliográficos
Autores principales: Wassermann, D., Mejail, M.E., Gambini, J., Buemi, M.E.
Formato: CONF
Materias:
Active contours
Approximation errors
B-spline representation
Textured images
Algorithms
Approximation theory
Curve fitting
Error analysis
Feature extraction
Image analysis
Mathematical models
Partial differential equations
Image segmentation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15301834_v_n_p98_Wassermann
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_15301834_v_n_p98_Wassermann
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spelling todo:paper_15301834_v_n_p98_Wassermann2023-10-03T16:21:14Z Segmentation with active contours: A comparative study of B-Spline and Level Set techniques Wassermann, D. Mejail, M.E. Gambini, J. Buemi, M.E. Active contours Approximation errors B-spline representation Textured images Algorithms Approximation theory Curve fitting Error analysis Feature extraction Image analysis Mathematical models Partial differential equations Image segmentation Active contours approach is a very used family of techniques in image analysis. This work presents a comparative study between two active contour approaches for image segmentation. Level sets method and deformable contours under B-spline representation are compared. These image segmentation methods have different features and are difficult to compare in terms of performance, accuracy and initialization conditions. Both are implemented and a way to calculate the approximation error is developed. As a conclusion of this work a theoretical comparison and a comparative characterization of the approximation error for each method are presented. © 2004 IEEE. Fil:Wassermann, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Gambini, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15301834_v_n_p98_Wassermann
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Active contours
Approximation errors
B-spline representation
Textured images
Algorithms
Approximation theory
Curve fitting
Error analysis
Feature extraction
Image analysis
Mathematical models
Partial differential equations
Image segmentation
spellingShingle Active contours
Approximation errors
B-spline representation
Textured images
Algorithms
Approximation theory
Curve fitting
Error analysis
Feature extraction
Image analysis
Mathematical models
Partial differential equations
Image segmentation
Wassermann, D.
Mejail, M.E.
Gambini, J.
Buemi, M.E.
Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
topic_facet Active contours
Approximation errors
B-spline representation
Textured images
Algorithms
Approximation theory
Curve fitting
Error analysis
Feature extraction
Image analysis
Mathematical models
Partial differential equations
Image segmentation
description Active contours approach is a very used family of techniques in image analysis. This work presents a comparative study between two active contour approaches for image segmentation. Level sets method and deformable contours under B-spline representation are compared. These image segmentation methods have different features and are difficult to compare in terms of performance, accuracy and initialization conditions. Both are implemented and a way to calculate the approximation error is developed. As a conclusion of this work a theoretical comparison and a comparative characterization of the approximation error for each method are presented. © 2004 IEEE.
format CONF
author Wassermann, D.
Mejail, M.E.
Gambini, J.
Buemi, M.E.
author_facet Wassermann, D.
Mejail, M.E.
Gambini, J.
Buemi, M.E.
author_sort Wassermann, D.
title Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
title_short Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
title_full Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
title_fullStr Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
title_full_unstemmed Segmentation with active contours: A comparative study of B-Spline and Level Set techniques
title_sort segmentation with active contours: a comparative study of b-spline and level set techniques
url http://hdl.handle.net/20.500.12110/paper_15301834_v_n_p98_Wassermann
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AT mejailme segmentationwithactivecontoursacomparativestudyofbsplineandlevelsettechniques
AT gambinij segmentationwithactivecontoursacomparativestudyofbsplineandlevelsettechniques
AT buemime segmentationwithactivecontoursacomparativestudyofbsplineandlevelsettechniques
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