@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",
}
