- Research Article
- Open Access
Locally Regularized Smoothing B-Snake
EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 076241 (2007)
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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Velut, J., Benoit-Cattin, H. & Odet, C. Locally Regularized Smoothing B-Snake. EURASIP J. Adv. Signal Process. 2007, 076241 (2007). https://doi.org/10.1155/2007/76241
- Information Technology
- Prior Knowledge
- Quantum Information
- Real Image
- Equilibrium Scheme