DETCIC: Detection of elongated touching cells with inhomogeneous illumination using a stack of conditional random fields

A. Memariani, C. Nikou, B. T. Endres, E. Bassères, K. W. Garey, I. A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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%.

Original languageEnglish (US)
Title of host publicationVISAPP
EditorsAlain Tremeau, Francisco Imai, Jose Braz
PublisherSciTePress
Pages574-580
Number of pages7
ISBN (Electronic)9789897582905
DOIs
StatePublished - 2018
Event13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 - Funchal, Madeira, Portugal
Duration: Jan 27 2018Jan 29 2018

Publication series

NameVISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume4

Conference

Conference13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period1/27/181/29/18

Keywords

  • Cell detection
  • Clostridium difficile infection
  • Conditional random fields

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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