Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy

The AZ91D magnesium alloy is known for its high strength-to-weight ratio, excellent machinability and good castability making it an ideal material to be used in automotive components fabrication. But due to its weak corrosion resistance towards the environment, identifying and quantifying AZ91D magn...

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Main Authors: Zuraila, Iberahim, Mohd Zamzuri, Mohammad Zain, Abdul Halim, Ismail, Juliawati, Alias, Muhammad Aiman, Ahmad Fozi, Nooraizedfiza, Zainon, Marina, Marzuki
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/39557/1/Image%20Processing%20Approach%20for%20Detection%20and%20Quantification.pdf
http://umpir.ump.edu.my/id/eprint/39557/2/Image%20processing%20approach%20for%20detection%20and%20quanti%EF%AC%81cation%20of%20corrosion%20behaviour%20of%20AZ91D%20magnesium%20alloy_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39557/
https://doi.org/10.1007/978-981-16-8690-0_91
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spelling my.ump.umpir.395572023-12-08T03:23:24Z http://umpir.ump.edu.my/id/eprint/39557/ Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy Zuraila, Iberahim Mohd Zamzuri, Mohammad Zain Abdul Halim, Ismail Juliawati, Alias Muhammad Aiman, Ahmad Fozi Nooraizedfiza, Zainon Marina, Marzuki T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics The AZ91D magnesium alloy is known for its high strength-to-weight ratio, excellent machinability and good castability making it an ideal material to be used in automotive components fabrication. But due to its weak corrosion resistance towards the environment, identifying and quantifying AZ91D magnesium alloy corrosion behaviour before any manufacturing processes can be a huge impact and may provide useful information to the manufacturers. The limitation of conventional corrosion detection and quantification methods also justify the further needs of image processing approach in this study. This paper study the feasibility of an image processing approach using the automatic thresholding method and various manual thresholding level in order to identify the corrosion attack on the AZ91D magnesium alloy. This method converts the original colour image to grayscale image and then convert it to binary image. Then through image processing approach, the image will be segmented to non-corroded and corroded area and labelled as 0 (black) and 1 (white) and make it easier to analyze. The white dots (1) distribution was then presented in percentage to shows that the pitting corrosion on the surface can be identified better by using the Otsu’s method of automatic thresholding. The resulting image of various thresholding shows which thresholding values successfully portray similarity of the original corrosion image. Thus, this increases the reliability of AZ91D magnesium alloy corrosion detection and quantification via image processing approach. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39557/1/Image%20Processing%20Approach%20for%20Detection%20and%20Quantification.pdf pdf en http://umpir.ump.edu.my/id/eprint/39557/2/Image%20processing%20approach%20for%20detection%20and%20quanti%EF%AC%81cation%20of%20corrosion%20behaviour%20of%20AZ91D%20magnesium%20alloy_ABS.pdf Zuraila, Iberahim and Mohd Zamzuri, Mohammad Zain and Abdul Halim, Ismail and Juliawati, Alias and Muhammad Aiman, Ahmad Fozi and Nooraizedfiza, Zainon and Marina, Marzuki (2022) Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 1047-1055., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 https://doi.org/10.1007/978-981-16-8690-0_91
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Zuraila, Iberahim
Mohd Zamzuri, Mohammad Zain
Abdul Halim, Ismail
Juliawati, Alias
Muhammad Aiman, Ahmad Fozi
Nooraizedfiza, Zainon
Marina, Marzuki
Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
description The AZ91D magnesium alloy is known for its high strength-to-weight ratio, excellent machinability and good castability making it an ideal material to be used in automotive components fabrication. But due to its weak corrosion resistance towards the environment, identifying and quantifying AZ91D magnesium alloy corrosion behaviour before any manufacturing processes can be a huge impact and may provide useful information to the manufacturers. The limitation of conventional corrosion detection and quantification methods also justify the further needs of image processing approach in this study. This paper study the feasibility of an image processing approach using the automatic thresholding method and various manual thresholding level in order to identify the corrosion attack on the AZ91D magnesium alloy. This method converts the original colour image to grayscale image and then convert it to binary image. Then through image processing approach, the image will be segmented to non-corroded and corroded area and labelled as 0 (black) and 1 (white) and make it easier to analyze. The white dots (1) distribution was then presented in percentage to shows that the pitting corrosion on the surface can be identified better by using the Otsu’s method of automatic thresholding. The resulting image of various thresholding shows which thresholding values successfully portray similarity of the original corrosion image. Thus, this increases the reliability of AZ91D magnesium alloy corrosion detection and quantification via image processing approach.
format Conference or Workshop Item
author Zuraila, Iberahim
Mohd Zamzuri, Mohammad Zain
Abdul Halim, Ismail
Juliawati, Alias
Muhammad Aiman, Ahmad Fozi
Nooraizedfiza, Zainon
Marina, Marzuki
author_facet Zuraila, Iberahim
Mohd Zamzuri, Mohammad Zain
Abdul Halim, Ismail
Juliawati, Alias
Muhammad Aiman, Ahmad Fozi
Nooraizedfiza, Zainon
Marina, Marzuki
author_sort Zuraila, Iberahim
title Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
title_short Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
title_full Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
title_fullStr Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
title_full_unstemmed Image processing approach for detection and quantification of corrosion behaviour of AZ91D magnesium alloy
title_sort image processing approach for detection and quantification of corrosion behaviour of az91d magnesium alloy
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39557/1/Image%20Processing%20Approach%20for%20Detection%20and%20Quantification.pdf
http://umpir.ump.edu.my/id/eprint/39557/2/Image%20processing%20approach%20for%20detection%20and%20quanti%EF%AC%81cation%20of%20corrosion%20behaviour%20of%20AZ91D%20magnesium%20alloy_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39557/
https://doi.org/10.1007/978-981-16-8690-0_91
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score 13.235362