Estimation of dynamic background for fluorescence video-microscopy

被引：5

作者：

Boulanger, J. ^{[1
]}

Kervrann, C. ^{[1
]}

Bouthemy, P. ^{[2
]}

机构：

[1] INRA MIA, IRISA INRIA, Campus Univ De Beaulieu, F-35042 Rennes, France

[2] IRISA INRIA, F-35042 Rennes, France

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年

关键词：

biomedical microscopy; image sequence analysis; adaptive estimation;

D O I：

10.1109/ICIP.2006.312803

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2509 / +

页数：2

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