Locally Regularized Smoothing B-Snake
<p/> <p>We propose a locally regularized snake based on smoothing-spline filtering. The proposed algorithm associates a regularization process with a force equilibrium scheme leading the snake's deformation. In this algorithm, the regularization is implemented with a smoothing of th...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/076241 |
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author | Velut Jérôme Benoit-Cattin Hugues Odet Christophe |
author_facet | Velut Jérôme Benoit-Cattin Hugues Odet Christophe |
author_sort | Velut Jérôme |
collection | DOAJ |
description | <p/> <p>We propose a locally regularized snake based on smoothing-spline filtering. The proposed algorithm associates a regularization process with a force equilibrium scheme leading the snake's deformation. In this algorithm, the regularization is implemented with a smoothing of the deformation forces. The regularization level is controlled through a unique parameter that can vary along the contour. It provides a locally regularized smoothing B-snake that offers a powerful framework to introduce prior knowledge. We illustrate the snake behavior on synthetic and real images, with global and local regularization.</p> |
first_indexed | 2024-12-11T06:04:13Z |
format | Article |
id | doaj.art-446859ce057d4796b55c06d47f8c6021 |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-12-11T06:04:13Z |
publishDate | 2007-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-446859ce057d4796b55c06d47f8c60212022-12-22T01:18:21ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071076241Locally Regularized Smoothing B-SnakeVelut JérômeBenoit-Cattin HuguesOdet Christophe<p/> <p>We propose a locally regularized snake based on smoothing-spline filtering. The proposed algorithm associates a regularization process with a force equilibrium scheme leading the snake's deformation. In this algorithm, the regularization is implemented with a smoothing of the deformation forces. The regularization level is controlled through a unique parameter that can vary along the contour. It provides a locally regularized smoothing B-snake that offers a powerful framework to introduce prior knowledge. We illustrate the snake behavior on synthetic and real images, with global and local regularization.</p>http://asp.eurasipjournals.com/content/2007/076241 |
spellingShingle | Velut Jérôme Benoit-Cattin Hugues Odet Christophe Locally Regularized Smoothing B-Snake EURASIP Journal on Advances in Signal Processing |
title | Locally Regularized Smoothing B-Snake |
title_full | Locally Regularized Smoothing B-Snake |
title_fullStr | Locally Regularized Smoothing B-Snake |
title_full_unstemmed | Locally Regularized Smoothing B-Snake |
title_short | Locally Regularized Smoothing B-Snake |
title_sort | locally regularized smoothing b snake |
url | http://asp.eurasipjournals.com/content/2007/076241 |
work_keys_str_mv | AT velutj233r244me locallyregularizedsmoothingbsnake AT benoitcattinhugues locallyregularizedsmoothingbsnake AT odetchristophe locallyregularizedsmoothingbsnake |