Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB

Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB

Image Processing Toolbox is one of the apps in MATLAB which allow a user to automate standard image processing processes. The user can segment image data in real-time, benchmark image registration methods, and batch process large datasets. In shipyard industry, the image processing technique is a po...

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Bibliographic Details
Published in:Advanced Structured Materials
Main Author: Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
Format: Book chapter
Language:English
Published: Springer 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200465651&doi=10.1007%2f978-3-031-56844-2_29&partnerID=40&md5=a67c2a5089b9b11642d81c886c2374e7
id 2-s2.0-85200465651
spelling 2-s2.0-85200465651
Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
2024
Advanced Structured Materials
208

10.1007/978-3-031-56844-2_29
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200465651&doi=10.1007%2f978-3-031-56844-2_29&partnerID=40&md5=a67c2a5089b9b11642d81c886c2374e7
Image Processing Toolbox is one of the apps in MATLAB which allow a user to automate standard image processing processes. The user can segment image data in real-time, benchmark image registration methods, and batch process large datasets. In shipyard industry, the image processing technique is a potential method to do corrosion inspection instead of visual inspection to achieve reliable method and give quick results. This paper investigates a corrosion method specifically surface area. The corrosion image with different areas is improved by using image enhancement and noise removal technique. All images are then evaluated using image analysis whereby extracting useful information from images, such as shape recognition, object tracking, coloring, or object characteristics measurement. For quality results, MSE (Mean Square Error) and PSNR (Peak Signal Noise Ratio) are applied. The results demonstrate that image processing effectively calculates the corroded area. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Springer
18698433
English
Book chapter
author Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
spellingShingle Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
author_facet Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
author_sort Zamanhuri P.Z.N.M.; Suhaimi M.S.R.; Saat A.M.; Rahman N.A.; Katon M.Z.
title Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
title_short Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
title_full Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
title_fullStr Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
title_full_unstemmed Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
title_sort Ship Pipeline Corrosion Surface Evaluation Using Image Processing in MATLAB
publishDate 2024
container_title Advanced Structured Materials
container_volume 208
container_issue
doi_str_mv 10.1007/978-3-031-56844-2_29
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200465651&doi=10.1007%2f978-3-031-56844-2_29&partnerID=40&md5=a67c2a5089b9b11642d81c886c2374e7
description Image Processing Toolbox is one of the apps in MATLAB which allow a user to automate standard image processing processes. The user can segment image data in real-time, benchmark image registration methods, and batch process large datasets. In shipyard industry, the image processing technique is a potential method to do corrosion inspection instead of visual inspection to achieve reliable method and give quick results. This paper investigates a corrosion method specifically surface area. The corrosion image with different areas is improved by using image enhancement and noise removal technique. All images are then evaluated using image analysis whereby extracting useful information from images, such as shape recognition, object tracking, coloring, or object characteristics measurement. For quality results, MSE (Mean Square Error) and PSNR (Peak Signal Noise Ratio) are applied. The results demonstrate that image processing effectively calculates the corroded area. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
publisher Springer
issn 18698433
language English
format Book chapter
accesstype
record_format scopus
collection Scopus
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