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A Unifying Approach and Interface for Spline-Based Snakes

M. Jacob, T. Blu, M. Unser

Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing (MI'01), San Diego CA, USA, February 17-22, 2001, vol. 4322, part I, pp. 340-347.



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.


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AUTHOR="Jacob, M. and Blu, T. and Unser, M.",
TITLE="A Unifying Approach and Interface for Spline-Based Snakes",
BOOKTITLE="Progress in Biomedical Optics and Imaging, vol. 2, no.
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