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Proceedings Paper

Wavelet-based semi-automatic live-wire segmentation
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Paper 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.

Paper Details

Date Published: 17 June 2003
PDF: 10 pages
Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); doi: 10.1117/12.479667
Show Author Affiliations
Thomas Haenselmann, Univ. of Mannheim (Germany)
Wolfgang Effelsberg, Univ. of Mannheim (Germany)

Published in SPIE Proceedings Vol. 5007:
Human Vision and Electronic Imaging VIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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