Automatic Virus Particle Selection-The Entropy Approach

This paper describes a fully automatic approach to locate icosahedral virus particles in transmission electron microscopy images. The initial detection of the particles takes place through automatic segmentation of the entropy-proportion image; this image is computed in particular regions of interes...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 22; H. 5; S. 1996 - 2003
Hauptverfasser:	Proenca, M. D. C. M. S., Nunes, J. F. M., de Matos, A. P. A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adenoviridae Adenovirus Adenoviruses Algorithm design and analysis Algorithms Applied sciences automatic detection automatic particle selection Detection, estimation, filtering, equalization, prediction electron microscopy images Entropy Exact sciences and technology Humans icosahedral particles Image processing Image Processing, Computer-Assisted - methods Information, signal and communications theory Microscopy Microscopy, Electron, Transmission Pattern Recognition, Automated - methods Reproducibility of Results segmentation Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Virion - isolation & purification Virion - ultrastructure Segmentation Adenovirus Automatic selection Entropy Electron microscopy Texture Discrimination task Outlier Interest region Computer virus False negative Automatic measurement icosahedral particles Signal processing Feature extraction automatic particle selection automatic detection electron microscopy images Computer security
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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