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Journal Articles EURASIP Journal on Advances in Signal Processing Year : 2007

Locally Regularized Smoothing B-Snake

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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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Dates and versions

inserm-00641299 , version 1 (15-11-2011)

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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, 2007, 2007 (1), pp.076241. ⟨inserm-00641299⟩
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