Accurate Cell Segmentation Based on Biological Morphology Features

Jianfeng Cao*, Zhongying Zhao, Hong Yan

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Citations (Scopus)

Abstract

Microscopic imaging has many applications in biological experiments. It is important to determine the cell locations in an image before other analysis tasks take place. In this paper, we propose a novel method to obtain cell and membrane segmentation based on the combination of k nearest neighbor clustering and biological morphology constraints. First, we produce preliminary segmentation with the watershed transformation. Then the segmentation results are optimized based on the morphological characteristics of the membrane. This method provides us with well-segmented cells and membranes, which significantly reduces errors in cell image analysis.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018)
PublisherIEEE
Pages3380-3383
ISBN (Electronic)978-1-5386-6650-0
DOIs
Publication statusPublished - Oct 2018
EventIEEE International Conference on Systems, Man, and Cybernetics (SMC) - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Publication series

NameIEEE International Conference on Systems Man and Cybernetics Conference Proceedings
ISSN (Print)1062-922X

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics (SMC)
Country/TerritoryJapan
CityMiyazaki
Period7/10/1810/10/18

Research Keywords

  • cell and membrane segmentation
  • biological constraints
  • nearest neighbor clustering

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