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Authors: A. Memariani 1 ; C. Nikou 2 ; B. T. Endres 1 ; E. Bassères 1 ; K. W. Garey 1 and I. A. Kakadiaris 1

Affiliations: 1 University of Houston, United States ; 2 University of Houston and University of Ioannina, United States

Keyword(s): Cell Detection, Conditional Random Fields, Clostridium Difficile Infection.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Medical Image Applications ; Segmentation and Grouping

Abstract: Automated detection of touching cells in images with inhomogeneous illumination is a challenging problem. A detection framework using a stack of two conditional random fields is proposed to detect touching elongated cells in scanning electron microscopy images with inhomogeneous illumination. The first conditional random field employs shading information to segment the cells where the effect of inhomogeneous illumination is reduced. The second conditional random field estimates the cell walls using their estimated cell wall probability. The method is evaluated using a dataset of Clostridium difficile cells. Finally, the method is compared with two region-based cell detection methods, CellDetect and DeTEC, improving the F-score by at least 20%.

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Paper citation in several formats:
Memariani, A.; Nikou, C.; Endres, B.; Bassères, E.; Garey, K. and Kakadiaris, I. (2018). DETCIC: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Stack of Conditional Random Fields. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 574-580. DOI: 10.5220/0006623305740580

@conference{visapp18,
author={A. Memariani. and C. Nikou. and B. T. Endres. and E. Bassères. and K. W. Garey. and I. A. Kakadiaris.},
title={DETCIC: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Stack of Conditional Random Fields},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={574-580},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006623305740580},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - DETCIC: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Stack of Conditional Random Fields
SN - 978-989-758-290-5
IS - 2184-4321
AU - Memariani, A.
AU - Nikou, C.
AU - Endres, B.
AU - Bassères, E.
AU - Garey, K.
AU - Kakadiaris, I.
PY - 2018
SP - 574
EP - 580
DO - 10.5220/0006623305740580
PB - SciTePress

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