Level Set Methods for Curvature Flow, Image Enchancement, and Shape Recovery in Medical Images

Ravi Malladi and James A. Sethian
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Ravi Malladi: University of California, Lawrence Berkeley Laboratory
James A. Sethian: University of California, Department of Mathematics

A chapter in Visualization and Mathematics, 1997, pp 329-345 from Springer

Abstract: Summary Level set methods are powerful numerical techniques for tracking the evolution of interfaces moving under a variety of complex motions. They are based on computing viscosity solutions to the appropriate equations of motion, using techniques borrowed from hyperbolic conservation laws. In this paper, we review some of the applications of this work to curvature motion, the construction of minimal surfaces, image enhancement, and shape recovery. We introduce new schemes for denoising three-dimensional shapes and images, as well as a fast shape recovery techniques for three-dimensional images.

Keywords: Weak Solution; Minimal Surface; Curvature Flow; Noise Removal; Shape Recovery (search for similar items in EconPapers)
Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-59195-2_21

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DOI: 10.1007/978-3-642-59195-2_21

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