A modification of the level set speed function to bridge gaps in data

Authors:
Karsten Rink;Klaus Tönnies
Affiliations:
Department of Simulation and Graphics, University of Magdeburg, Germany;Department of Simulation and Graphics, University of Magdeburg, Germany
Venue:
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Year:
2006

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Abstract

Level set methods have become very popular means for image segmentation in recent years. But due to the data-driven nature of this methods it is difficult to segment objects that appear unconnected within the data. We propose a modification of the level set speed function to add a “bridging force” that allows the level set to leap over gaps in the data and segment an object despite artifacts or partial occlusions. We propose two methods to define such a force, one model-based and one image-based. Both versions have been applied to a series of test images, as well as medical data and photographic images to show their adequacy for image segmentation.