Unifying approach and interface for spline-based snakes

Mathews Jacob; Thierry Blu; Michael A. Unser

doi:10.1117/12.431105

3 July 2001 Unifying approach and interface for spline-based snakes

Mathews Jacob, Thierry Blu, Michael A. Unser

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431105
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

Mathews Jacob, Thierry Blu, and Michael A. Unser "Unifying approach and interface for spline-based snakes", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431105

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