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  4. Motion detection for adaptive spatio-temporal filtering of medical X-ray image sequences
 
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Motion detection for adaptive spatio-temporal filtering of medical X-ray image sequences

Publikationstyp
Conference Paper
Date Issued
2005
Sprache
English
Author(s)
Hensel, Marc  
Wiesner, Gordon  
Kuhrmann, Bernd  
Pralow, Thomas  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10171
Start Page
68
End Page
72
Citation
Bildverarbeitung für die Medizin 2005 : Algorithmen - Systeme - Anwendungen ; Proceedings des Workshops vom 13. - 15. März 2005 in Heidelberg, 2005. - (Informatik aktuell). - pp. 68-72
Contribution to Conference
Workshop Bildverarbeitung für die Medizin, 2005  
Publisher DOI
10.1007/3-540-26431-0_15
Scopus ID
2-s2.0-84879954332
Publisher
Springer
Spatio-temporal filters are used to improve the quality of X-ray image sequences exhibiting severe noise in real-time. The spatial and temporal ratios have to be adapted locally in order to avoid artifacts. We propose a method processing the positive and negative pixel values of difference images independently in order to detect regions dominated by motion and single pixels dominated by noise. In the context of noise-adaptive binarization using Euler numbers, the influence of noise and motion on Euler curves is investigated.
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften
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