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

doi:10.1109/SMC.2018.00235

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

研究成果: Conference contribution › 同行評審

2 引文斯高帕斯（Scopus）

摘要

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.

原文	English
主出版物標題	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	1343-1347
頁數	5
ISBN（電子）	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00235
出版狀態	Published - 2 7月 2018
事件	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, 日本持續時間: 7 10月 2018 → 10 10月 2018

出版系列

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

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
國家/地區	日本
城市	Miyazaki
期間	7/10/18 → 10/10/18

UN SDG

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存取文件

10.1109/SMC.2018.00235

其它文件與鏈接

Link to publication in Scopus

引用此

Lin, J. L., Chen, Y. S., Huang, Y. H., Hsu, A. L., Jong, T. L., & Hsu, W. H. (2018). Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image. 於 Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (頁 1343-1347). 文章 8616231 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00235

Lin, Jiunn Liang ; Chen, Yung Sheng ; Huang, Yi Hao 等. / Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 頁 1343-1347 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

@inproceedings{d74b8b42214448e89f22f2f07ff74790,

title = "Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image",

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.",

keywords = "Caenorhabditis elegans (C. elegans), coefficient of variation, image processing, image segmentation, line thresholding, microscopic image",

author = "Lin, \{Jiunn Liang\} and Chen, \{Yung Sheng\} and Huang, \{Yi Hao\} and Hsu, \{Ao Lin\} and Jong, \{Tai Lang\} and Hsu, \{Wen Hsing\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/SMC.2018.00235",

language = "English",

series = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1343--1347",

booktitle = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",

address = "美國",

}

Lin, JL, Chen, YS, Huang, YH, Hsu, AL, Jong, TL & Hsu, WH 2018, Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image. 於 Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616231, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers Inc., 頁 1343-1347, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, 日本, 7/10/18. https://doi.org/10.1109/SMC.2018.00235

Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image. / Lin, Jiunn Liang; Chen, Yung Sheng; Huang, Yi Hao 等.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1343-1347 8616231 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image

AU - Lin, Jiunn Liang

AU - Chen, Yung Sheng

AU - Huang, Yi Hao

AU - Hsu, Ao Lin

AU - Jong, Tai Lang

AU - Hsu, Wen Hsing

PY - 2018/7/2

Y1 - 2018/7/2

N2 - 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.

AB - 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.

KW - Caenorhabditis elegans (C. elegans)

KW - coefficient of variation

KW - image processing

KW - image segmentation

KW - line thresholding

KW - microscopic image

UR - https://www.scopus.com/pages/publications/85062210405

U2 - 10.1109/SMC.2018.00235

DO - 10.1109/SMC.2018.00235

M3 - Conference contribution

AN - SCOPUS:85062210405

T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

SP - 1343

EP - 1347

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Y2 - 7 October 2018 through 10 October 2018

ER -

Lin JL, Chen YS, Huang YH, Hsu AL, Jong TL, Hsu WH. Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image. 於 Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1343-1347. 8616231. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). doi: 10.1109/SMC.2018.00235

Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image

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