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  • Research Article
  • Open Access

Locally Regularized Smoothing B-Snake

EURASIP Journal on Advances in Signal Processing20072007:076241

https://doi.org/10.1155/2007/76241

  • Received: 22 July 2005
  • Accepted: 17 December 2006
  • Published:

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.

Keywords

  • Information Technology
  • Prior Knowledge
  • Quantum Information
  • Real Image
  • Equilibrium Scheme

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Authors’ Affiliations

(1)
CREATIS, CNRS UMR 5220, Inserm U 630, INSA, Bâtiment Blaise Pascal, Villeurbanne, 69621, France

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