Wavelet-based semi-automatic live-wire segmentation

Thomas Haenselmann; Wolfgang Effelsberg

doi:10.1117/12.479667

17 June 2003 Wavelet-based semi-automatic live-wire segmentation

Proceedings Volume 5007, Human Vision and Electronic Imaging VIII; (2003) https://doi.org/10.1117/12.479667
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Thomas Haenselmann and Wolfgang Effelsberg "Wavelet-based semi-automatic live-wire segmentation", Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); https://doi.org/10.1117/12.479667

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