@inproceedings{bde094090fe94d73b9ec381e53a138de,
title = "Conditional random fields for object and background estimation in fluorescence video-microscopy",
abstract = "This paper describes an original method to detect XFP-tagged proteins in time-lapse microscopy. Non-local measurements able to capture spatial intensity variations are incorporated within a Conditional Random Field (CRF) framework to localize the objects of interest. The minimization of the related energy is performed by a min-cut/max-flow algorithm. Furthermore, we estimate the slowly varying background at each time step. The difference between the current image and the estimated background provides new and reliable measurements for object detection. Experimental results on simulated and real data demonstrate the performance of the proposed method.",
keywords = "Biomedical microscopy, Conditional random fields, Fluorescence, Min-cut/max-flow minimization, Object detection",
author = "T. P{\'e}cot and A. Chessel and S. Bardin and J. Salamero and P. Bouthemy and C. Kervrann",
year = "2009",
month = jan,
day = "1",
doi = "10.1109/ISBI.2009.5193152",
language = "English",
isbn = "9781424439324",
series = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",
publisher = "IEEE Computer Society",
pages = "734--737",
booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging",
note = "6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 ; Conference date: 28-06-2009 Through 01-07-2009",
}