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Locally Regularized Smoothing B-Snake

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 076241 (2007) Cite this article

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.

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Authors and Affiliations

  1. CREATIS, CNRS UMR 5220, Inserm U 630, INSA, Bâtiment Blaise Pascal, Villeurbanne, 69621, France

    Jérôme Velut, Hugues Benoit-Cattin & Christophe Odet

Authors
  1. Jérôme Velut
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  2. Hugues Benoit-Cattin
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  3. Christophe Odet
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Correspondence to Jérôme Velut.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Velut, J., Benoit-Cattin, H. & Odet, C. Locally Regularized Smoothing B-Snake. EURASIP J. Adv. Signal Process. 2007, 076241 (2007). https://doi.org/10.1155/2007/76241

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