17 June 2003 Wavelet-based semi-automatic live-wire segmentation
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Abstract
The live-wire approach is a well-known algorithm based on a graph search to locate boundaries for image segmentation. We will extend the original cost function, which is solely based on finding strong edges, so that the approach can take a large variety of boundaries into account. The cost function adapts to the local characteristics of a boundary by analyzing a user-defined sample using a continuous wavelet decomposition. We will finally extend the approach into 3D in order to segment objects in volumetric data, e. g., from medical CT and MR scans.
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Thomas Haenselmann and Wolfgang Effelsberg "Wavelet-based semi-automatic live-wire segmentation", Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); doi: 10.1117/12.479667; https://doi.org/10.1117/12.479667
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