1687-6180-2007-076241 1687-6180 Research Article <p>Locally Regularized Smoothing B-Snake</p>VelutJérômejerome.velut@creatis.insa-lyon.frBenoit-CattinHuguesyougz@creatis.insa-lyon.frOdetChristophechristophe.odet@creatis.insa-lyon.fr

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

EURASIP Journal on Advances in Signal Processing1687-6180200720071076241http://asp.eurasipjournals.com/content/2007/07624110.1155/2007/76241 22720052572006171220062522007 2007Velut et al.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.

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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