Quantification of the porosity of membranes by digital images analysis techniques

Liqing Li; Jun Wang; Jintu Fan; Nancy Elizabeth Allen

doi:10.1109/CISP.2015.7408022

Quantification of the porosity of membranes by digital images analysis techniques

Liqing Li, Jun Wang, Jintu Fan, Nancy Elizabeth Allen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

A digital image processing method was developed to calculate the porosity, pore size distribution, pore area orientation from the SEM images of membrane surface. After image trimming the SEM images are transformed to the binary images to get the pores which formed by fibers. The pores of the membrane were considered as ellipse which should fit the pore properly. Then the porosity such as the total pore percentage, the pores number, and the mean pore diameter could be derived from the obtained binary images. The samples with different magnification were tested using this image processing method and the test results were further compared.

Original language	English
Title of host publication	Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
Editors	Lipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	984-989
Number of pages	6
ISBN (Electronic)	9781467390989
DOIs	https://doi.org/10.1109/CISP.2015.7408022
Publication status	Published - 16 Feb 2016
Externally published	Yes
Event	8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	8th International Congress on Image and Signal Processing, CISP 2015
Country/Territory	China
City	Shenyang
Period	14/10/15 → 16/10/15

Keywords

distribution
image
membrane
porosity
threshold

ASJC Scopus subject areas

Signal Processing

More information

10.1109/CISP.2015.7408022

Cite this

Li, L., Wang, J., Fan, J., & Allen, N. E. (2016). Quantification of the porosity of membranes by digital images analysis techniques. In L. Wang, S. Lin, Z. Tao, B. Zeng, X. Hui, L. Shao, & J. Liang (Eds.), Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 (pp. 984-989). [7408022] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISP.2015.7408022

Li, Liqing ; Wang, Jun ; Fan, Jintu et al. / Quantification of the porosity of membranes by digital images analysis techniques. Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. editor / Lipo Wang ; Sen Lin ; Zhiyong Tao ; Bing Zeng ; Xiaowei Hui ; Liangshan Shao ; Jie Liang. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 984-989

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title = "Quantification of the porosity of membranes by digital images analysis techniques",

abstract = "A digital image processing method was developed to calculate the porosity, pore size distribution, pore area orientation from the SEM images of membrane surface. After image trimming the SEM images are transformed to the binary images to get the pores which formed by fibers. The pores of the membrane were considered as ellipse which should fit the pore properly. Then the porosity such as the total pore percentage, the pores number, and the mean pore diameter could be derived from the obtained binary images. The samples with different magnification were tested using this image processing method and the test results were further compared.",

keywords = "distribution, image, membrane, porosity, threshold",

author = "Liqing Li and Jun Wang and Jintu Fan and Allen, {Nancy Elizabeth}",

year = "2016",

month = feb,

day = "16",

doi = "10.1109/CISP.2015.7408022",

language = "English",

pages = "984--989",

editor = "Lipo Wang and Sen Lin and Zhiyong Tao and Bing Zeng and Xiaowei Hui and Liangshan Shao and Jie Liang",

booktitle = "Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015",

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

note = "8th International Congress on Image and Signal Processing, CISP 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

}

Li, L, Wang, J, Fan, J & Allen, NE 2016, Quantification of the porosity of membranes by digital images analysis techniques. in L Wang, S Lin, Z Tao, B Zeng, X Hui, L Shao & J Liang (eds), Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015., 7408022, Institute of Electrical and Electronics Engineers Inc., pp. 984-989, 8th International Congress on Image and Signal Processing, CISP 2015, Shenyang, China, 14/10/15. https://doi.org/10.1109/CISP.2015.7408022

Quantification of the porosity of membranes by digital images analysis techniques. / Li, Liqing; Wang, Jun; Fan, Jintu et al.

Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. ed. / Lipo Wang; Sen Lin; Zhiyong Tao; Bing Zeng; Xiaowei Hui; Liangshan Shao; Jie Liang. Institute of Electrical and Electronics Engineers Inc., 2016. p. 984-989 7408022.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Wang, Jun

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AU - Allen, Nancy Elizabeth

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N2 - A digital image processing method was developed to calculate the porosity, pore size distribution, pore area orientation from the SEM images of membrane surface. After image trimming the SEM images are transformed to the binary images to get the pores which formed by fibers. The pores of the membrane were considered as ellipse which should fit the pore properly. Then the porosity such as the total pore percentage, the pores number, and the mean pore diameter could be derived from the obtained binary images. The samples with different magnification were tested using this image processing method and the test results were further compared.

AB - A digital image processing method was developed to calculate the porosity, pore size distribution, pore area orientation from the SEM images of membrane surface. After image trimming the SEM images are transformed to the binary images to get the pores which formed by fibers. The pores of the membrane were considered as ellipse which should fit the pore properly. Then the porosity such as the total pore percentage, the pores number, and the mean pore diameter could be derived from the obtained binary images. The samples with different magnification were tested using this image processing method and the test results were further compared.

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KW - image

KW - membrane

KW - porosity

KW - threshold

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BT - Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

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A2 - Tao, Zhiyong

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A2 - Hui, Xiaowei

A2 - Shao, Liangshan

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Li L, Wang J, Fan J, Allen NE. Quantification of the porosity of membranes by digital images analysis techniques. In Wang L, Lin S, Tao Z, Zeng B, Hui X, Shao L, Liang J, editors, Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 984-989. 7408022 doi: 10.1109/CISP.2015.7408022

Quantification of the porosity of membranes by digital images analysis techniques

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Keywords

ASJC Scopus subject areas

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