DocumentCode
383358
Title
Modeling shape and topology of 3D images of biological specimens
Author
De-Alarcón, Pedio A. ; Pascual-Montano, Alberto ; Gupta, Amarnath ; Carazo, José M.
Author_Institution
Centro Nacional de Biotecnologia, Univ. Autonoma de Madrid, Spain
Volume
1
fYear
2002
fDate
2002
Firstpage
79
Abstract
This paper presents an efficient way of representing the geometry and topology of 3D images of biological specimens derived from electron microscopy. A vector quantization algorithm is used in order to select a reduced set of interior points that best approximates the probability density function of the original volumetric data. Object´s geometry and topology are obtained from the point set by the use of the alpha shapes theory.
Keywords
biology computing; computational geometry; probability; solid modelling; stereo image processing; topology; vector quantisation; 3D images; biological specimens; modeling geometry; probability density function; topology; vector quantization; volumetric data; Biological system modeling; Electron microscopy; Probability density function; Proteins; Shape; Stability; Supercomputers; Testing; Topology; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1044617
Filename
1044617
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