Cell Extraction Method from Time-Series Image of Phase Contrast Microscope

Masaki Tamura, Toshiyuki Tanaka

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

Abstract

In this study, we propose cell extraction method for solving the problem that previous research and common method cause extra segmentation and recognize single cell as plural cells. Proposed method consists of three steps. First, we separate the cell area from background of the image. Second, we classify the cell area into two groups by the size of area. Third, we extract cells from cell area classified each groups. As a result, we can decrease the number of extra segmentation of cell in the image.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-79
Number of pages4
ISBN (Print)9781467382113
DOIs
Publication statusPublished - 2016 Jan 4
Event1st International Conference on Computer Application Technologies, CCATS 2015 - Matsue, Japan
Duration: 2015 Aug 312015 Sep 2

Other

Other1st International Conference on Computer Application Technologies, CCATS 2015
CountryJapan
CityMatsue
Period15/8/3115/9/2

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Keywords

  • area division
  • cell extraction
  • phase contrast microscope

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Tamura, M., & Tanaka, T. (2016). Cell Extraction Method from Time-Series Image of Phase Contrast Microscope. In Proceedings - 2015 International Conference on Computer Application Technologies, CCATS 2015 (pp. 76-79). [7372318] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCATS.2015.28