RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm
A number of accidents at sea are primarily caused by low visibility due to sea fog. Therefore, it is important to estimate sea fog intensity and visibility in real-time in the ocean environment. Visibility meters utilize optical sensors rather than visional information, so that the measured visibili...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/12/1/53 |
| _version_ | 1797343361935343616 |
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| author | Shin-Hyuk Hwang Se-Kil Park Sung-Hyun Park Ki-Won Kwon Tae-Ho Im |
| author_facet | Shin-Hyuk Hwang Se-Kil Park Sung-Hyun Park Ki-Won Kwon Tae-Ho Im |
| author_sort | Shin-Hyuk Hwang |
| collection | DOAJ |
| description | A number of accidents at sea are primarily caused by low visibility due to sea fog. Therefore, it is important to estimate sea fog intensity and visibility in real-time in the ocean environment. Visibility meters utilize optical sensors rather than visional information, so that the measured visibility data occasionally includes errors. Moreover, visibility meters have significant costs so that it is not viable to install them at various locations. Therefore, this paper proposes an algorithm called RDCP (Reduced Dark Channel Prior), which provides reliable estimation at a low cost by processing images captured from cameras, since they receive identical information as human eyes. For the estimation, the RDCP algorithm firstly acquires dark channels from an ocean image, then applies an optimized threshold value to the dark channels and crops out the sky region in the ocean image. For the estimation performance evaluation, 320 raw images captured from cameras at four different ports in Republic of Korea are used. Considering facilities in oceans, which are usually operated in power-limited environment, the processing time performance of PDCP is also examined. The experiments demonstrate that the RDCP algorithm provides reliable estimation performance in real-time. |
| first_indexed | 2024-03-08T10:46:31Z |
| format | Article |
| id | doaj.art-b361010913144a59bf4846e11bdfa678 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-08T10:46:31Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-b361010913144a59bf4846e11bdfa6782024-01-26T17:14:33ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-12-011215310.3390/jmse12010053RDCP: A Real Time Sea Fog Intensity and Visibility Estimation AlgorithmShin-Hyuk Hwang0Se-Kil Park1Sung-Hyun Park2Ki-Won Kwon3Tae-Ho Im4Department of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of KoreaKorea Research Institute of Ships and Ocean Engineering (KRISO), 32, Yuseong-daero 1312beon-gil, Yuseong-gu, Daejeon 34103, Republic of KoreaDepartment of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of KoreaKorea Electronics Technology Institute (KETI), 25, Saenari-ro, Bundang-gu, Seongnam-si 13509, Republic of KoreaDepartment of Information and Communication Engineering, Hoseo University, 20, Hoseo-ro79beon-gil, Baebang-eup, Asan-si 31499, Republic of KoreaA number of accidents at sea are primarily caused by low visibility due to sea fog. Therefore, it is important to estimate sea fog intensity and visibility in real-time in the ocean environment. Visibility meters utilize optical sensors rather than visional information, so that the measured visibility data occasionally includes errors. Moreover, visibility meters have significant costs so that it is not viable to install them at various locations. Therefore, this paper proposes an algorithm called RDCP (Reduced Dark Channel Prior), which provides reliable estimation at a low cost by processing images captured from cameras, since they receive identical information as human eyes. For the estimation, the RDCP algorithm firstly acquires dark channels from an ocean image, then applies an optimized threshold value to the dark channels and crops out the sky region in the ocean image. For the estimation performance evaluation, 320 raw images captured from cameras at four different ports in Republic of Korea are used. Considering facilities in oceans, which are usually operated in power-limited environment, the processing time performance of PDCP is also examined. The experiments demonstrate that the RDCP algorithm provides reliable estimation performance in real-time.https://www.mdpi.com/2077-1312/12/1/53sea fog intensity estimationvisibility estimationsea fog image processing |
| spellingShingle | Shin-Hyuk Hwang Se-Kil Park Sung-Hyun Park Ki-Won Kwon Tae-Ho Im RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm Journal of Marine Science and Engineering sea fog intensity estimation visibility estimation sea fog image processing |
| title | RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm |
| title_full | RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm |
| title_fullStr | RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm |
| title_full_unstemmed | RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm |
| title_short | RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm |
| title_sort | rdcp a real time sea fog intensity and visibility estimation algorithm |
| topic | sea fog intensity estimation visibility estimation sea fog image processing |
| url | https://www.mdpi.com/2077-1312/12/1/53 |
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