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Proceedings Paper

Unifying approach and interface for spline-based snakes
Author(s): Mathews Jacob; Thierry Blu; Michael A. Unser
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Paper Abstract

In this paper, we present different solutions for improving spline-based snakes. First, we demonstrate their minimum curvature interpolation property, and use it as an argument to get rid of the explicit smoothness constraint. We also propose a new external energy obtained by integrating a non-linearly pre-processed image in the closed region bounded by the curve. We show that this energy, besides being efficiently computable, is sufficiently general to include the widely used gradient-based schemes, Bayesian schemes, their combinations and discriminant-based approaches. We also introduce two initialization modes and the appropriate constraint energies. We use these ideas to develop a general snake algorithm to track boundaries of closed objects, with a user-friendly interface.

Paper Details

Date Published: 3 July 2001
PDF: 8 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431105
Show Author Affiliations
Mathews Jacob, Swiss Federal Institute of Technology/Lausanne (Switzerland)
Thierry Blu, Swiss Federal Institute of Technology/Lausanne (Switzerland)
Michael A. Unser, Swiss Federal Institute of Technology/Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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