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Robust Centerline Extraction Framework Using Level Sets

12 years 7 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected automatically as the point of global maximum Euclidean distance from the boundary, and is considered a point source (PS) that transmits a wave front that evolves over time and traverses the object domain. The front propagates at each object point with a speed that is proportional to its Euclidean distance from the boundary. The motion of the front is governed by a nonlinear partial differential equation whose solution is computed efficiently using level set methods. Initially, the PS transmits a moderate speed wave to explore the object domain and extract its topological information such as merging and extreme points. Then, it transmits a new front that is much faster at centerline points than non central ones. As a consequence, centerlines intersect the propagating fronts at those points of maximum positive c...
M. Sabry Hassouna, Aly A. Farag
Added 08 Nov 2008
Updated 25 Nov 2008
Type Conference
Year 2005
Where CVPR (Computer Vision and Pattern Recognition)
Authors M. Sabry Hassouna, Aly A. Farag
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