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, Demián, Mejail, Marta Estela, Gambini, María Juliana, Buemi, María Elena
Publicado: 2004
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:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v_n_p98_Wassermann
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 paper:paper_15301834_v_n_p98_Wassermann
record_format dspace
spelling paper:paper_15301834_v_n_p98_Wassermann2023-06-08T16:19:43Z Segmentation with active contours: A comparative study of B-Spline and Level Set techniques Wassermann, Demián Mejail, Marta Estela Gambini, María Juliana Buemi, María Elena 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. 2004 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v_n_p98_Wassermann 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, Demián
Mejail, Marta Estela
Gambini, María Juliana
Buemi, María Elena
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.
author Wassermann, Demián
Mejail, Marta Estela
Gambini, María Juliana
Buemi, María Elena
author_facet Wassermann, Demián
Mejail, Marta Estela
Gambini, María Juliana
Buemi, María Elena
author_sort Wassermann, Demián
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
publishDate 2004
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v_n_p98_Wassermann
http://hdl.handle.net/20.500.12110/paper_15301834_v_n_p98_Wassermann
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AT gambinimariajuliana segmentationwithactivecontoursacomparativestudyofbsplineandlevelsettechniques
AT buemimariaelena segmentationwithactivecontoursacomparativestudyofbsplineandlevelsettechniques
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