Locally Regularized Smoothing B-Snake. (25th February 2007)

• Record Type: Journal Article
• Authors: Velut Velut, Jérôme Jérôme; Benoit-Cattin Benoit-Cattin, Hugues Hugues; Odet Odet, Christophe Christophe
• Other Names: Jan Jan Jiri Jiri Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2007-02-25
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/76241
• Languages: English
• ISSNs: 1687-6172

Abstract

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.