Locally Regularized Smoothing B-Snake

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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EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, 2007 (1), pp.076241
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Dernière modification le : mardi 26 juin 2018 - 14:58:07
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  • HAL Id : inserm-00641299, version 1

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Jérôme Velut, Hugues Benoit-Cattin, Christophe Odet. Locally Regularized Smoothing B-Snake. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, 2007 (1), pp.076241. 〈inserm-00641299〉

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