Registration method for infrared and visible image of sea surface vessels based on contour feature
In this paper, a modified infrared and visible image registration method based on contour feature is proposed. Our method firstly extracts the feature contour and eliminates sparkling waves contour of the sea surface, determines the main direction of the contour based on the contour image, then uses...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
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| Series: | Heliyon |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023013737 |
| _version_ | 1827972634003898368 |
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| author | Yakui Dong Cheng Fei Guopeng Zhao Lili Wang Yunxia Liu Junliang Liu Shuzhen Fan Yongfu Li Xian Zhao |
| author_facet | Yakui Dong Cheng Fei Guopeng Zhao Lili Wang Yunxia Liu Junliang Liu Shuzhen Fan Yongfu Li Xian Zhao |
| author_sort | Yakui Dong |
| collection | DOAJ |
| description | In this paper, a modified infrared and visible image registration method based on contour feature is proposed. Our method firstly extracts the feature contour and eliminates sparkling waves contour of the sea surface, determines the main direction of the contour based on the contour image, then uses the improved Scale Invariant Feature Transform (SIFT) method as the feature point to construct the descriptor, completes the registration of the two images. 30 sets of infrared and visible-band vessels images were selected for registration experiments. Compared with previous reports, the experimental results showed that the proportion of effective feature points detected by this method can reach 70%, and the average number of effective feature points detected by proposed method can reach 196 in visible band image and 279 in infrared image. The running time was 5.3599s, shortened by 25% compared with previous reports, and the average Root Mean Square Error (RMSE) value was 2.3566, smaller by 75% compared with previous reports. An effective registration method is provided, which can be used for infrared and visible image processing and comprehensive utilization of information in marine scenes. |
| first_indexed | 2024-04-09T19:24:48Z |
| format | Article |
| id | doaj.art-b3acde1026404f1b9fba66310f85fbb1 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-09T19:24:48Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-b3acde1026404f1b9fba66310f85fbb12023-04-05T08:21:05ZengElsevierHeliyon2405-84402023-03-0193e14166Registration method for infrared and visible image of sea surface vessels based on contour featureYakui Dong0Cheng Fei1Guopeng Zhao2Lili Wang3Yunxia Liu4Junliang Liu5Shuzhen Fan6Yongfu Li7Xian Zhao8Key Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, China; Corresponding author. Center for Optics Research and Engineering, Shandong University, 266237, China.Key Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, China; Corresponding author. Center for Optics Research and Engineering, Shandong University, 266237, China.Key Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaKey Laboratory of Laser & Infrared System, Ministry of Education, Shandong University, Qingdao, China; Center for Optics Research and Engineering, Shandong University, Qingdao, ChinaIn this paper, a modified infrared and visible image registration method based on contour feature is proposed. Our method firstly extracts the feature contour and eliminates sparkling waves contour of the sea surface, determines the main direction of the contour based on the contour image, then uses the improved Scale Invariant Feature Transform (SIFT) method as the feature point to construct the descriptor, completes the registration of the two images. 30 sets of infrared and visible-band vessels images were selected for registration experiments. Compared with previous reports, the experimental results showed that the proportion of effective feature points detected by this method can reach 70%, and the average number of effective feature points detected by proposed method can reach 196 in visible band image and 279 in infrared image. The running time was 5.3599s, shortened by 25% compared with previous reports, and the average Root Mean Square Error (RMSE) value was 2.3566, smaller by 75% compared with previous reports. An effective registration method is provided, which can be used for infrared and visible image processing and comprehensive utilization of information in marine scenes.http://www.sciencedirect.com/science/article/pii/S2405844023013737 |
| spellingShingle | Yakui Dong Cheng Fei Guopeng Zhao Lili Wang Yunxia Liu Junliang Liu Shuzhen Fan Yongfu Li Xian Zhao Registration method for infrared and visible image of sea surface vessels based on contour feature Heliyon |
| title | Registration method for infrared and visible image of sea surface vessels based on contour feature |
| title_full | Registration method for infrared and visible image of sea surface vessels based on contour feature |
| title_fullStr | Registration method for infrared and visible image of sea surface vessels based on contour feature |
| title_full_unstemmed | Registration method for infrared and visible image of sea surface vessels based on contour feature |
| title_short | Registration method for infrared and visible image of sea surface vessels based on contour feature |
| title_sort | registration method for infrared and visible image of sea surface vessels based on contour feature |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023013737 |
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