DocumentCode :
442500
Title :
Robust skeletonization using the fast marching method
Author :
Hassouna, M. Sabry ; Farag, A.A.
Author_Institution :
Comput. Vision & Image Process. Lab., Louisville Univ., KY, USA
Volume :
1
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
We have recently developed a level set based-framework for computing medial curves or curve skeletons CS for arbitrary 2D shapes as well as tubular and articulated 3D objects. The proposed framework is robust, fully automatic, computationally efficient, and produces curve skeletons that are connected, centered, thin, and less sensitive to boundary noise. In this paper, we introduce two improvements to the framework in order to enhance its performance in terms of stability and topology preserving.
Keywords :
signal processing; curve skeletons; fast marching method; skeletonization; Computer vision; Cost function; Image processing; Level set; Partial differential equations; Robustness; Shape; Skeleton; Stability; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1529781
Filename :
1529781
Link To Document :
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