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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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https://www.hal.inserm.fr/inserm-00641299
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Submitted on : Tuesday, November 15, 2011 - 1:23:51 PM
Last modification on : Wednesday, July 8, 2020 - 12:42:08 PM
Long-term archiving on: : Friday, November 16, 2012 - 10:56:10 AM

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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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