Multimodal image registration for power equipment using clifford algebraic geometric invariance
Imaging inspection and video monitoring are important means for power equipment condition monitoring and diagnosis. However, single model image cannot supply sufficient information for power equipment condition monitoring, such as infrared images and visible images. The image registration can bridge...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722004383 |
| _version_ | 1818049613713637376 |
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| author | Tianyu Cheng Juping Gu Xinsong Zhang Liang Hua Fengshen Zhao |
| author_facet | Tianyu Cheng Juping Gu Xinsong Zhang Liang Hua Fengshen Zhao |
| author_sort | Tianyu Cheng |
| collection | DOAJ |
| description | Imaging inspection and video monitoring are important means for power equipment condition monitoring and diagnosis. However, single model image cannot supply sufficient information for power equipment condition monitoring, such as infrared images and visible images. The image registration can bridge this gap. This paper develops an image registration method fused by infrared and visible images, which constructs the principal direction of corner points using neighborhood contour point geometric invariance under Clifford algebraic space. Simultaneously, we also design a law for fitting optimal spatial information in the main direction of corner points, where the Clifford rotation operator is utilized to realize the spatial transformation of the image to be registered. The experiment reveals that the average registration error is less than 3 pixels by this developed method, reaching sub-pixel registration, subsequently obtaining satisfactory fusion effect of power equipment. This algorithm enriches the multimodal image registration scheme and meets the requirements of monitoring power equipment. |
| first_indexed | 2024-12-10T10:40:22Z |
| format | Article |
| id | doaj.art-12f9a2f80e9544759ad1a16ba4e04d8e |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-10T10:40:22Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-12f9a2f80e9544759ad1a16ba4e04d8e2022-12-22T01:52:19ZengElsevierEnergy Reports2352-48472022-08-01810781086Multimodal image registration for power equipment using clifford algebraic geometric invarianceTianyu Cheng0Juping Gu1Xinsong Zhang2Liang Hua3Fengshen Zhao4School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; School of Electrical Engineering, Nantong University, Nantong 226019, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; School of Electrical Engineering, Nantong University, Nantong 226019, China; Corresponding author at: School of Electrical Engineering, Nantong University, Nantong 226019, China.School of Electrical Engineering, Nantong University, Nantong 226019, ChinaSchool of Electrical Engineering, Nantong University, Nantong 226019, ChinaSchool of Electrical Engineering, Nantong University, Nantong 226019, ChinaImaging inspection and video monitoring are important means for power equipment condition monitoring and diagnosis. However, single model image cannot supply sufficient information for power equipment condition monitoring, such as infrared images and visible images. The image registration can bridge this gap. This paper develops an image registration method fused by infrared and visible images, which constructs the principal direction of corner points using neighborhood contour point geometric invariance under Clifford algebraic space. Simultaneously, we also design a law for fitting optimal spatial information in the main direction of corner points, where the Clifford rotation operator is utilized to realize the spatial transformation of the image to be registered. The experiment reveals that the average registration error is less than 3 pixels by this developed method, reaching sub-pixel registration, subsequently obtaining satisfactory fusion effect of power equipment. This algorithm enriches the multimodal image registration scheme and meets the requirements of monitoring power equipment.http://www.sciencedirect.com/science/article/pii/S2352484722004383Power equipmentInfrared and visible imageImage registrationClifford algebraSpace fitting |
| spellingShingle | Tianyu Cheng Juping Gu Xinsong Zhang Liang Hua Fengshen Zhao Multimodal image registration for power equipment using clifford algebraic geometric invariance Energy Reports Power equipment Infrared and visible image Image registration Clifford algebra Space fitting |
| title | Multimodal image registration for power equipment using clifford algebraic geometric invariance |
| title_full | Multimodal image registration for power equipment using clifford algebraic geometric invariance |
| title_fullStr | Multimodal image registration for power equipment using clifford algebraic geometric invariance |
| title_full_unstemmed | Multimodal image registration for power equipment using clifford algebraic geometric invariance |
| title_short | Multimodal image registration for power equipment using clifford algebraic geometric invariance |
| title_sort | multimodal image registration for power equipment using clifford algebraic geometric invariance |
| topic | Power equipment Infrared and visible image Image registration Clifford algebra Space fitting |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722004383 |
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