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Distance-based Speed Functions for Level Set Methods in Image Segmentation

10 years 6 months ago
Distance-based Speed Functions for Level Set Methods in Image Segmentation
"Level set methods are a well-known means for the segmentation of objects in image data. In this paper, we discuss a class of easy to calculate terms based on distance measures for integration into the level set speed function. We will give examples for the use of these distance-based terms as a stopping criterion in the absence of reliable image features and as an acceleration force for the propagating front to connect parts of a single object. A comparison of the results with a level set segmentation not using any distance measures will be given to demonstrate the improvement of segmentation results."
Karsten Rink and Klaus Tonnies
Added 01 Apr 2009
Updated 01 Apr 2009
Type Conference
Year 2008
Where BMVC
Authors Karsten Rink and Klaus Tonnies
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