Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image

Jiunn Liang Lin, Yung Sheng Chen, Yi Hao Huang, Ao Lin Hsu, Tai Lang Jong, Wen Hsing Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Caenorhabditis elegans (C. elegans) is a kind of transparent nematode with the body length about 1 mm. C. elegans has been widely used in the field of modern biology for studying organs and cells, where a variety of physiological changes about the whole life of C. elegans are usually evaluated via human visual inspection. In order to facilitate the automatically quantitative evaluation with computer, the segmentation of C. elegans from microscopic image is a primary and significant task. In this paper, a method including image transformation, line thresholding and morphological operations is presented to segment the C. elegans from a microscopic image. Experimental results confirm the feasibility of the proposed method and some future works are discussed.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1343-1347
Number of pages5
ISBN (Electronic)9781538666500
DOIs
StatePublished - 16 Jan 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: 7 Oct 201810 Oct 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/TerritoryJapan
CityMiyazaki
Period7/10/1810/10/18

Keywords

  • Caenorhabditis elegans (C. elegans)
  • coefficient of variation
  • image processing
  • image segmentation
  • line thresholding
  • microscopic image

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