ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:WA-P3.2
Session:Biomedical Imaging
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Topic: Biomedical Imaging: Molecular and cellular bioimaging
Title: ESTIMATION OF DYNAMIC BACKGROUND FOR FLUORESCENCE VIDEO-MICROSCOPY
Authors: Jérôme Boulanger; IRISA-INRIA / INRA-MIA 
 Charles Kervrann; IRISA-INRIA / INRA-MIA 
 Patrick Bouthemy; IRISA-INRIA 
Abstract: This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged moving vesicles. A temporal linear model is considered for background modeling whose parameters are robustly estimated using asymmetric M-estimators combined with a bias-variance trade-off criterion. Furthermore, we propose an original approach for automatically detecting moving objects in the image sequence. Experimental results demonstrate the interest of this proposed method which can be relevant for biological studies from image sequences.