DocumentCode :
462014
Title :
A CSC Based Classification Method for CT Bone Images
Author :
Sturm, Patrick ; Priese, Lutz ; Wang, Haojun
Author_Institution :
Inst. of Comput. Visualistics, Koblenz Univ., Koblenz
fYear :
2006
fDate :
14-16 June 2006
Firstpage :
1080
Lastpage :
1084
Abstract :
The CSC (color structure code) is a robust and fast two dimensional segmentation method which has been already generalized to three dimensional images. As the CSC does not need any prior knowledge it can be used for different applications. In this paper we focus on the segmentation of bones from computer tomography data (CT) with the CSC. In the postprocessing step CSC segments will be classified according to their average hounsfield value. The classification is steered by some application specific topological rules.
Keywords :
bone; computerised tomography; image classification; image segmentation; medical image processing; 2D segmentation method; CSC based classification method; CT bone images; color structure code; computer tomography data; Application software; Biological tissues; Biomedical imaging; Bones; Computed tomography; Image segmentation; Medical diagnostic imaging; Military computing; Robustness; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
3D Data Processing, Visualization, and Transmission, Third International Symposium on
Conference_Location :
Chapel Hill, NC
Print_ISBN :
0-7695-2825-2
Type :
conf
DOI :
10.1109/3DPVT.2006.11
Filename :
4155841
Link To Document :
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