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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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| 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 |
| _version_ | 1825815174674644992 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T13:09:29Z |
| format | Conference or Workshop Item |
| id | UMPir38778 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:09:29Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir387782023-11-06T06:50:55Z 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 (Published) https://doi.org/10.1109/CSPA57446.2023.10087382 |
| 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) |
| title | 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_short | Implementation of underwater image enhancement for corrosion pipeline inspection (UIECPI) |
| title_sort | implementation of underwater image enhancement for corrosion pipeline inspection uiecpi |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| 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 |
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