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
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