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Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)

The corrosion penetration rate (CPR) during crude oil transportation procedures or gas transportation by carbon steel pipelines is one of the most important critical issue problems for any oil and gas sector today. Several studies have been conducted on these topics using various methods. The major...

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Main Authors: Syafiq Qhushairy, Syamsul Amri, Ahmad Shahrizan, Abdul Ghani, Mohd Aiman Syahmi, Kamarul baharin
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/38778/1/Implementation%20of%20underwater%20image%20enhancement.pdf
http://umpir.ump.edu.my/id/eprint/38778/2/Implementation%20of%20underwater%20image%20enhancement%20for%20corrosion%20pipeline%20inspection%20%28UIECPI%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38778/
https://doi.org/10.1109/CSPA57446.2023.10087382
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spelling my.ump.umpir.387782023-11-06T06:50:55Z http://umpir.ump.edu.my/id/eprint/38778/ Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI) Syafiq Qhushairy, Syamsul Amri Ahmad Shahrizan, Abdul Ghani Mohd Aiman Syahmi, Kamarul baharin T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The corrosion penetration rate (CPR) during crude oil transportation procedures or gas transportation by carbon steel pipelines is one of the most important critical issue problems for any oil and gas sector today. Several studies have been conducted on these topics using various methods. The major purpose of this research is to use computer vision concepts which is underwater image enhancement for corrosion pipeline inspection to develop a robust and capable model that can accurately detect corrosion using certain algorithms and operating parameters. A reliable algorithm is developed to enhance the input images. The results from this detection model showed that, with small set of examples image, the underwater image enhancement for corrosion pipeline inspection (UIECPI) was able readily distinguished. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38778/1/Implementation%20of%20underwater%20image%20enhancement.pdf pdf en http://umpir.ump.edu.my/id/eprint/38778/2/Implementation%20of%20underwater%20image%20enhancement%20for%20corrosion%20pipeline%20inspection%20%28UIECPI%29_ABS.pdf Syafiq Qhushairy, Syamsul Amri and Ahmad Shahrizan, Abdul Ghani and Mohd Aiman Syahmi, Kamarul baharin (2023) Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI). In: 2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings, 3-4 March 2023 , Kedah. pp. 195-200.. ISBN 978-166547692-8 https://doi.org/10.1109/CSPA57446.2023.10087382
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
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul baharin
Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
description The corrosion penetration rate (CPR) during crude oil transportation procedures or gas transportation by carbon steel pipelines is one of the most important critical issue problems for any oil and gas sector today. Several studies have been conducted on these topics using various methods. The major purpose of this research is to use computer vision concepts which is underwater image enhancement for corrosion pipeline inspection to develop a robust and capable model that can accurately detect corrosion using certain algorithms and operating parameters. A reliable algorithm is developed to enhance the input images. The results from this detection model showed that, with small set of examples image, the underwater image enhancement for corrosion pipeline inspection (UIECPI) was able readily distinguished.
format Conference or Workshop Item
author Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul baharin
author_facet Syafiq Qhushairy, Syamsul Amri
Ahmad Shahrizan, Abdul Ghani
Mohd Aiman Syahmi, Kamarul baharin
author_sort Syafiq Qhushairy, Syamsul Amri
title Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
title_short Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
title_full Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
title_fullStr Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
title_full_unstemmed Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI)
title_sort implementation of underwater image enhancement for corrosion pipeline inspection (uiecpi)
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38778/1/Implementation%20of%20underwater%20image%20enhancement.pdf
http://umpir.ump.edu.my/id/eprint/38778/2/Implementation%20of%20underwater%20image%20enhancement%20for%20corrosion%20pipeline%20inspection%20%28UIECPI%29_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38778/
https://doi.org/10.1109/CSPA57446.2023.10087382
_version_ 1822923748455481344
score 13.23648

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