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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/17020/2/AJ_SITI%20NORAINI%20SULAIMAN%20ESTEEM%2015.pdf
http://ir.uitm.edu.my/id/eprint/17020/
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spelling my.uitm.ir.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
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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/17020/2/AJ_SITI%20NORAINI%20SULAIMAN%20ESTEEM%2015.pdf
http://ir.uitm.edu.my/id/eprint/17020/
_version_ 1685648884752187392
score 13.211869

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