Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]

This project presents a new method to characterize porous silicon (PS) from the scanning electron microscope (SEM) image. Conventionally, the porosity from the PS film is able to be determined by using gravimetric or quasi-gravimetric method. However, the gravimetric method requires various stages o...

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Main Author:	Sulaiman, Siti Noraini
Format:	Article
Language:	English
Published:	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2015
Online Access:	http://ir.uitm.edu.my/id/eprint/17020/ http://ir.uitm.edu.my/id/eprint/17020/2/AJ_SITI%20NORAINI%20SULAIMAN%20ESTEEM%2015.pdf

id	uitm-17020
recordtype	eprints
spelling	uitm-170202019-07-25T07:19:18Z http://ir.uitm.edu.my/id/eprint/17020/ Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.] Sulaiman, Siti Noraini This project presents a new method to characterize porous silicon (PS) from the scanning electron microscope (SEM) image. Conventionally, the porosity from the PS film is able to be determined by using gravimetric or quasi-gravimetric method. However, the gravimetric method requires various stages of processing to obtain the porosity of PS where using the gravimetric method, the mass of the silicon sample is measured despite the fact that the final result would suggest that the porous film would be destructed. This is due to the usage of an alkaline solution that dissolves the sample. In addition, the problem of this method is that it will provide low accuracy of the porosity characterization. In this paper, the new method of characterization which uses the image processing technique is proposed. It uses segmentation via a clustering algorithm called the AFKM. The objective is to determine the porosity of PS with a non-destructive manner which will not harm the sample. The implementation of the AFKM technique as image segmentation is to segment the image into two significant regions i.e. the holes (black region) and the background (white region) of the image so that it can easily be identified. Next, the area for the black region is calculated in order to obtain the porosity of the PS. The porosity is calculated by calculating the ratio of the black area to the total area of SEM images. From the porosity calculation, their stability can be identified. Furthermore, this method provides a more accurate determination of the total area of the pore sizes and most importantly, it will not destruct the sample. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2015 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/17020/2/AJ_SITI%20NORAINI%20SULAIMAN%20ESTEEM%2015.pdf Sulaiman, Siti Noraini (2015) Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]. Esteem Academic Journal, 11 (1). pp. 33-45. ISSN 1675-7939
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	This project presents a new method to characterize porous silicon (PS) from the scanning electron microscope (SEM) image. Conventionally, the porosity from the PS film is able to be determined by using gravimetric or quasi-gravimetric method. However, the gravimetric method requires various stages of processing to obtain the porosity of PS where using the gravimetric method, the mass of the silicon sample is measured despite the fact that the final result would suggest that the porous film would be destructed. This is due to the usage of an alkaline solution that dissolves the sample. In addition, the problem of this method is that it will provide low accuracy of the porosity characterization. In this paper, the new method of characterization which uses the image processing technique is proposed. It uses segmentation via a clustering algorithm called the AFKM. The objective is to determine the porosity of PS with a non-destructive manner which will not harm the sample. The implementation of the AFKM technique as image segmentation is to segment the image into two significant regions i.e. the holes (black region) and the background (white region) of the image so that it can easily be identified. Next, the area for the black region is calculated in order to obtain the porosity of the PS. The porosity is calculated by calculating the ratio of the black area to the total area of SEM images. From the porosity calculation, their stability can be identified. Furthermore, this method provides a more accurate determination of the total area of the pore sizes and most importantly, it will not destruct the sample.
format	Article
author	Sulaiman, Siti Noraini
spellingShingle	Sulaiman, Siti Noraini Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
author_facet	Sulaiman, Siti Noraini
author_sort	Sulaiman, Siti Noraini
title	Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
title_short	Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
title_full	Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
title_fullStr	Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
title_full_unstemmed	Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]
title_sort	obtaining the porosity of porous silicon from sem images based on the image processing method / siti noraini sulaiman … [et al.]
publisher	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
publishDate	2015
url	http://ir.uitm.edu.my/id/eprint/17020/ http://ir.uitm.edu.my/id/eprint/17020/2/AJ_SITI%20NORAINI%20SULAIMAN%20ESTEEM%2015.pdf
first_indexed	2023-09-18T22:57:23Z
last_indexed	2023-09-18T22:57:23Z
_version_	1777417944412717056

Obtaining the porosity of porous silicon from SEM images based on the image processing method / Siti Noraini Sulaiman … [et al.]

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