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Open Access

Locally Regularized Smoothing B-Snake

EURASIP Journal on Advances in Signal Processing20072007:076241

https://doi.org/10.1155/2007/76241

Received: 22 July 2005

Accepted: 17 December 2006

Published: 25 February 2007

Abstract

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.

Keywords

Information TechnologyPrior KnowledgeQuantum InformationReal ImageEquilibrium Scheme

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Authors’ Affiliations

(1)
CREATIS, CNRS UMR 5220, Inserm U 630, INSA, Bâtiment Blaise Pascal, Villeurbanne, France

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Copyright

© Jérôme Velut et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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